Roman Słowiński

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Books and Monographs

  1. R.Słowiński, Y.Yao (eds.), Rough Sets. Part C of the Handbook of Computational Intelligence, edited by J.Kacprzyk and W.Pedrycz, Springer, Berlin, 2015, pp. 329-451.
  2. J.-T.Yao, Y.Yang, R.Słowiński, S.Greco, H.Li, S.Mitra, L.Polkowski (eds.), Rough Sets and Current Trends in Computing (RSCTC 2012). LNCS 7413, Springer, Berlin, 2012.
  3. J.Branke, K.Deb, K.Miettinen, R.Słowiński (eds.), Multiobjective Optimization: Interactive and Evolutionary Approaches. State-of-the-Art Survey series of the Lecture Notes in Computer Science, vol. 5252, Springer-Verlag, Berlin, 2008, 470 pp.
  4. S.Greco, Y.Hata, S.Hirano, M.Inuiguchi, S.Miyamoto, H.S.Nguyen, R.Słowiński (eds.), Rough Sets and Current Trends in Computing (RSCTC 2006). Lecture Notes in Artificial Intelligence, vol. 4259, Springer-Verlag, Berlin, 2006, 951 pp.
  5. S.Tsumoto, R.Słowiński, J.Komorowski, J.W.Grzymala-Busse (eds.), Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol. 3066, Springer-Verlag, Berlin, 2004.
  6. D.Bouyssou, E.Jacquet-Lagreze, P.Perny, R.Słowiński, D.Vanderpooten, Ph.Vincke, eds.: Aiding Decisions with Multiple Criteria – Essays in Honor of Bernard Roy. Kluwer Academic Publishers, Boston, 2002.
  7. R.Słowiński, M.Hapke, eds.: Scheduling under Fuzziness. Physica-Verlag, Heidelberg, 1999.
  8. R.Słowiński, ed.: Decision Analysis, Operations Research and Statistics. Handbooks of Fuzzy Sets Series, vol. 5. Kluwer Academic Publishers, Boston, 1998.
  9. R.Słowiński, ed.: OR - Towards Intelligent Decision Support. Semi-Plenary Papers of the XIVth European Conference on Operational Research, Jerusalem, 3-6.07.1995, ISBN-83-903917-0-8.
  10. R.Słowiński, ed.: Intelligent Decision Support - Handbook of Applications and Advances of the Rough Sets Theory. Kluwer Academic Publishers, Dordrecht, 1992.
  11. R.Słowiński, J.Teghem, eds.: Stochastic versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty. Kluwer Academic Publishers, Dordrecht, 1990.
  12. R.Słowiński, J.Węglarz, eds.: Advances in Project Scheduling. Elsevier, Amsterdam, 1989.
  13. J.Błażewicz, W.Cellary, R.Słowiński, J.Węglarz: Scheduling under Resource Constraints - Deterministic Models. Annals of Operations Research. J.C.Baltzer AG, Basel, 1986.
  14. J.Błażewicz, W.Cellary, R.Słowiński, J.Węglarz: Operations Research for Computer Scientists (in Polish). Science and Technology Publishers (WNT), Warszawa, 1983.
  15. R.Słowiński: Control Algorithms for the Allocation of Resources of Multiple Categories in a Complex of Operations Framework (in Polish). PUT Press, Dissertation series no. 114, Poznań, 1980.
  16. R.Słowiński: Optimal Control of Resource Allocation among Related Activities (in Polish). Doctoral Dissertation, Poznań University of Technology, Poznań, 1977.

Book translated from French to Polish.

  • B.Roy: Méthodologie Multicritere d'Aide a la Décision. Economica, Paris, 1985 for Science and Technology Publishers (Wielokryterialne wspomaganie decyzji, WNT, Warszawa, 1990).

Articles in Journals and Edited Volumes

(selected)

2016

  • S. Angilella, S. Corrente, S. Greco, R. Słowiński: Robust Ordinal Regression and Stochastic Multiobjective Acceptability Analysis in Multiple Criteria Hierarchy Process for the Choquet integral preference model. Accepted by OMEGA, 2016.
  • S. Greco, R. Słowiński, I. Szczęch: Measures of rule interestingness in four perspectives of confirmation. Accepted by Information Sciences, 2016.
  • S. Corrente, S. Greco, R. Słowiński: Multiple Criteria Hierarchy Process for ELECTRE Tri methods. Accepted by European Journal of Operational Research, 2016. dx.doi.org/10.1016/j.ejor.2015.12.053
  • M. Kadziński, R. Słowiński, S. Greco: Robustness analysis for decision under uncertainty with rule-based preference model. Information Sciences, 328 (2016) 321–339. dx.doi.org/10.1016/j.ins.2015.07.062
  • J. Branke, S. Corrente, S. Greco, R. Słowiński, P. Zielniewicz: Using Choquet Integral as Preference Model in Interactive Evolutionary Multiobjective Optimization.  European Journal of Operational Research, 250 (2016) 884–901. dx.doi.org/10.1016/j.ejor.2015.10.027
  • S. Corrente, S. Greco, B. Matarazzo, R. Słowiński: Robust ordinal regression for decision under risk and uncertainty. Journal of Business Economics, 86 (2016) no.1, 55-83. dx.doi.org/10.1007/s11573-015-0801-5.
  • M. Kadziński, R. Słowiński, M. Szeląg: Dominance-based rough set approach to multiple criteria ranking with sorting-specific preference information. [In]: S. Matwin, J. Mielniczuk (eds.): Challanges in Computational Statistics and Data Mining. Studies in Computational Intelligence, vol. 605, Springer, Cham, 2016, pp. 155-171.
    dx.doi.org/10.1007/978-3-319-18781-5_9 (DS 2016 oraz IBS 2016)

2015

  • R. Susmaga, R. Słowiński: Generation of rough set reduct and constructs based on inter-class and intra-class information. Fuzzy Sets and Systems, 274 (2015) 124-142.  dx.doi.org/10.1016/j.fss.2014.06.012
  • J. Branke, S. Greco, R. Słowiński, P. Zielniewicz: Learning Value Functions in Interactive Evolutionary Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, 19 (2015) no.1, 88–102. dx.doi.org/10.1109/TEVC.2014.2303783
  • M. Kadziński, K. Ciomek, R. Słowiński: Modeling assignment-based pairwise comparisons within integrated framework for value-driven multiple criteria sorting. European Journal of Operational Research, 241 (2015) no.3, 830–841. dx.doi.org/10.1016/j.ejor.2014.09.050
  •  H. Blasco, J. Błaszczyński, J.-Ch. Billaut, L. Nadal, P.-F. Pradat, D. Devos, C. Moreau, Ch.R. Andres, P. Emond, P. Corcia and R. Słowiński: Comparative analysis of targeted metabolomics: dominance-based rough set approach versus orthogonal partial least square-discriminant analysis. Journal of Biomedical Informatics, 53 (2015) 291–299. dx.doi.org/10.1016/j.jbi.2014.12.001
  • M. Cinelli, S.R. Coles, M.N. Nadagouda, J. Błaszczyński, R. Słowiński, R.S. Varma, K. Kirwan: A green chemistry-based classification model for the synthesis of silver nanoparticles. Green Chemistry, 17 (2015) 2825–2839. dx.doi.org/10.1039/c4gc02088j
  • Ł. Pałkowski, J. Błaszczyński, A. Skrzypczak, J. Błaszczak, A. Nowaczyk, J. Wróblewska, S. Kożuszko, E. Gospodarek, R. Słowiński, J. Krysiński: Prediction of antifungal activity of gemini-imidazolium compounds. BioMed Research International, Vol. 2015, Article ID 392326 (2015), 10 pages. dx.doi.org/10.1155/2015/392326 
  • M. Kadziński, R. Słowiński: Parametric evaluation of research units with respect to reference profiles. Decision Support Systems, 72 (2015) 32-43. dx.doi.org/10.1016/j.dss.2015.02.004
  • R. Słowiński, S. Greco, B. Matarazzo: Rough Set Methodology for Decision Aiding. Chapter 22 [in]: J.Kacprzyk and W.Pedrycz (eds.), Handbook of Computational Intelligence, Springer, Berlin, 2015, pp. 349-370.
  • Y. Yao, S. Greco, R. Słowiński: Probabilistic Rough Sets. Chapter 24 [in]:  J.Kacprzyk and W.Pedrycz (eds.), Handbook of Computational Intelligence, Springer, Berlin, 2015, pp. 387-411.
  • S. Corrente, M. Doumpos, S. Greco, R. Słowiński, C. Zopounidis: Multiple criteria hierarchy process for sorting problems based on ordinal regression with additive value functions. Accepted in Annals of Operations Research, 2015. dx.doi.org/10.1007/s10479-015-1898-1
  • M. Kadziński, K. Ciomek, P. Rychły, R. Słowiński: Post factum analysis for robust multiple criteria ranking and sorting. Accepted in Journal of Global Optimization, 2015. dx.doi.org/10.1007/s10898-015-0359-3
  • J. Błaszczyński, Y. Kusunoki, M. Inuiguchi, R. Słowiński: Empirical Risk Minimization for Variable Consistency Dominance-based Rough Set Approach. [In]: Y. Yao et al. (Eds.): RSFDGrC 2015, LNAI 9437, Springer, Berlin, 2015, pp. 57–66. dx.doi.org/10.1007/978-3-319-25783-9 6
  • M. Kadziński, R. Słowiński, S. Greco: Multiple criteria ranking and choice with all compatible minimal cover sets of decision rules. Knowledge-Based Systems, 89 (2015) 569–583. dx.doi.org/10.1016/j.knosys.2015.09.004
  • M. Inuiguchi, A. Okumura, R. Słowiński, S. Greco: Semi-robust multiple criteria decision aiding by interval UTA method. Proceedings of the 12th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2015. Skövde, Sweden, September 21-23, 2015.
  • M. Inuiguchi, A. Okumura, R. Słowiński, S. Greco: Interval ordinal regression for multi-attribute decision aiding. [In]: Proc. 8th Internat. Conference on Nonlinear Analysis and Convex Analysis (NACA2013, Hirosaki, Japan, 2013), Yokohama Publishers, 2015, pp. 177-206.
  • M. Kadziński, K. Ciomek, R. Słowiński: Modeling assignment-based pairwise comparisons within integrated framework for value-driven multiple criteria sorting. European Journal of Operational Research, 241 (2015) no.3, 830–841.
  • J. Branke, S. Greco, R. Słowiński, P. Zielniewicz: Learning Value Functions in Interactive Evolutionary Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, 19 (2015) no.1, 88–102.

2014

  • R. Słowiński, S. Greco, B. Matarazzo: Rough-Set-Based Decision Support. Chapter 19 [in]:  E.K. Burke and G. Kendall (eds.), Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, 2nd edition, Springer, New York, 2014, pp. 557-609.  http://dx.doi.org/10.1007/978-1-4614-6940-7_19
  • S. Angilella, S. Corrente, S. Greco, R. Słowiński: MUSA-INT: Multicriteria customer satisfaction  analysis with interacting criteria. OMEGA, The International Journal of Management Science, 42 (2014) 189–200. dx.doi.org/10.1016/j.omega.2013.05.006
  • Ł. Pałkowski, J. Błaszczyński, A. Skrzypczak, J. Błaszczak, K. Kozakowska, J. Wróblewska, S. Kożuszko, E. Gospodarek, J. Krysiński, R. Słowiński: Antimicrobial Activity and SAR Study of New Gemini Imidazolium-based Chlorides. Chemical Biology & Drug Design, 83 (2014) no.3, 278-288, dx.doi.org/10.1111/cbdd.12236
  • Ł. Pałkowski, J. Krysiński, J. Błaszczyński, R. Słowiński, A. Skrzypczak, J. Błaszczak, E. Gospodarek, J. Wróblewska: Application of Rough Set Theory to Prediction of Antimicrobial Activity of Bis-Quaternary Imidazolium Chlorides. Fundamenta Informaticae, 132 (2014) 1–16.http://dx.doi.org/10.3233/FI-2014-1046
  • A. Wieczorek, R. Słowiński:  Generating a set of association and decision rules with statistically representative support and anti-support. Information Sciences, 277 (2014) 56-70. http://dx.doi.org/10.1016/j.ins.2014.02.003
  • M. Szeląg, S. Greco, R. Słowiński: Variable consistency dominance-based rough set approach to preference learning in multicriteria ranking. Information Sciences, 277 (2014) 525-552. dx.doi.org/10.1016/j.ins.2014.02.138
  • M. Kadziński, S. Corrente, S. Greco, R. Słowiński: Preferential reducts and constructs in robust multiple criteria ranking and sorting. OR Spectrum, 36 (2014) no.4, 1021-1053. dx.doi.org/10.1007/s00291-014-0361-z
  • S.Greco, B.Matarazzo, R.Słowiński: Decision rule approach. Chapter 13 [in]: J.Figueira, S.Greco and M.Ehrgott (eds.), Multiple Criteria Decision Analysis: State of the Art Surveys, 2nd edition, Springer, New York, 2014.
  • S. Greco, V. Mousseau, UTAGMS–INT: robust ordinal regression of value functions handling interacting criteria. European Journal of Operational Research, 239 (2014) 711–730. dx.doi.org/10.1016/j.ejor.2014.05.022 
  • S. Corrente, S. Greco, M. Kadziński, R. Słowiński: Robust Ordinal Regression. [In]: Wiley Encyclopedia of Operations Research and Management Science, J.Wiley & Sons, 2014.
  • S. Greco, B. Matarazzo, R. Słowiński: Decision Rule Preference Model. [In]: Wiley Encyclopedia of Operations Research and Management Science, J.Wiley & Sons, 2014.
  • D. O'Sullivan,  Sz. Wilk, W. Michalowski, R. Słowiński, R. Thomas, M. Kadziński, and K. Farion: Learning the preferences of physicians for the organization of result lists of medical documents. Methods of Information in Medicine, 53 (2014) no.4, 1-13. http://dx.doi.org/10.3414/ME13-01-0085
  • R. Słowiński, M. Kadziński, S. Greco: Robust Ordinal Regression for Dominance-based Rough Set Approach under Uncertainty. [In]: M. Kryszkiewicz, Ch. Cornelis, D. Ciucci, H. Motoda, Z.W. Raś (eds.), Proceedings of RSEISP 2014, LNCS 8537, Springer, Berlin, 2014, pp. 77-87.
  • J. Błaszczyński, Ł. Pałkowski, A. Skrzypczak, J. Błaszczak, A. Nowaczyk, R. Słowinski, J. Krysinski: A Rough Set Approach to Novel Compounds Activity Prediction Based on Surface Active Properties and Molecular Descriptors. [In]: M. Kryszkiewicz, Ch. Cornelis, D. Ciucci, H. Motoda, Z.W. Raś (eds.), Proceedings of RSEISP 2014, LNCS 8537, Springer, Berlin, 2014, pp. 153-160.

2013

  • S. Corrente, S. Greco, M. Kadziński, R. Słowiński: Robust ordinal regression in preference learning and ranking. Machine Learning, 93 (2013) 381-422.http://dx.doi.org/10.1007/s10994-013-5365-4
  • W. Kotłowski, R. Słowiński: On nonparametric ordinal classification with monotonicity constraints. IEEE Transactions on Knowledge and Data Engineering, 25 (2013) no.11,        2576-2589.  doi.ieeecomputersociety.org/10.1109/TKDE.2012.204
  • M. Kadziński, S. Greco, R. Słowiński: RUTA: a framework for assessing and selecting additive value functions on the basis of rank related requirements. OMEGA, The International Journal of Management Science, 41 (2013) no.4, 735–751. dx.doi.org/10.1016/j.omega.2012.10.002
  • S. Corrente, S. Greco, R. Słowiński: Multiple Criteria Hierarchy Process with ELECTRE and PROMETHEE. OMEGA, The International Journal of Management Science, 41 (2013) no.5, 820-846. dx.doi.org/10.1016/j.omega.2012.10.009. 
  • M. Szeląg, S. Greco, R. Słowiński: Rule-Based Approach to Multicriteria Ranking. Chapter 6 [in]: M. Doumpos, E. Grigoroudis (eds.), Multicriteria Decision Aid and Artificial Intelligence: Links, Theory and Applications, Wiley-Blackwell, London, 2013, pp. 127-160.
  • J. Figueira, S. Greco, B. Roy, R. Słowiński: An overview of ELECTRE methods and their recent extensions. Journal of Multi-Criteria Decision Analysis, 20 (2013) 61–85. dx.doi.org/10.1002/mcda.1482
  • S. Greco, R. Słowiński, P. Zielniewicz: Putting Dominance-based Rough Set Approach and robust ordinal regression together. Decision Support Systems, 54 (2013) 891-903.  dx.doi.org/10.1016/j.dss.2012.09.013
  • S. Angilella, S. Corrente, S. Greco, R. Słowiński: Multiple Criteria Hierarchy Process for the Choquet integral. [In]: R.C. Purshouse et al. (eds.): Evolutionary Multiobjective Optimization – EMO 2013, LNCS 7811, Springer, Berlin, 2013, pp. 475–489.
  • S. Greco, B. Matarazzo, R. Słowiński: Beyond Markowitz with Multiple Criteria Decision Aiding. Journal of Business Economics, 83 (2013) no.1, 29-60. dx.doi.org/10.1007/s11573-012-0644-2
  • M. Kadziński, S. Greco, R. Słowiński: Selection of a representative value function for robust ordinal regression in group decision making. Group Decision and Negotiation, 22 (2013) no.3, 429-462. dx.doi.org/10.1007/s10726-011-9277-z 
  • W. Deng, F. Hu, G. Wang, J. Błaszczyński, R. Słowiński, M. Szeląg: A novel method for elimination of inconsistencies in ordinal classification with monotonicity constraints. Fundamenta Informaticae, 126 (2013) no.4, 377-395. dx.doi.org/10.3233/FI-2013-887
  • S. Greco, B. Matarazzo, R. Słowiński: Comments on: Multicriteria decision systems for financial problems. TOP, Journal of the Spanish Society of Statistics and Operations Research, 21 (2013) 268-274. dx.doi.org/10.1007/s11750-013-0277-9
  • M. Kadziński, R. Słowiński: DIS-CARD: on requirements about desired cardinality of classes in multiple criteria sorting problems. Journal of Global Optimization, 56 (2013) 1143–1166. dx.doi.org/10.1007/s10898-012-9945-9
  • B. Roy, R. Słowiński: Questions guiding the choice of a multicriteria decision aiding method. EURO Journal on Decision Processes, 1 (2013) no.1, 69–97. http://dx.doi.org/10.1007/s40070-013-0004-7
  • http://dx.doi.org/10.1007/s40070-013-0004-7S. Greco, R. Słowiński, I. Szczęch: Finding meaningful Bayesian confirmation measures. Fundamenta Informaticae, 21 (2013) 1001-1016. http://dx.doi.org/10.3233/FI-2012-0000
  • Y. Kusunoki, J. Błaszczyński, M. Inuiguchi, R. Słowiński: Empirical Risk Minimization for Variable Precision Dominance-Based Rough Set Approach. [In]: P. Lingras, M. Wolski, Ch. Cornelis, S. Mitra, P. Wasilewski (eds.), Rough Sets and Knowledge Technology – RSKT 2013, LNCS 8171, Springer, Berlin, 2013, pp. 133-144.
  • „Best Paper Award”, Joint Rough Set Symposium – Rough Sets and Knowledge Technology – Halifax, Canada, October 10-14, 2013.
  • J. Błaszczyński, S. Greco, B. Matarazzo, R. Słowiński, M. Szeląg: jMAF - Dominance-based Rough Set Data Analysis Framework. Chapter 5 [in]: A. Skowron, Z. Suraj (eds.), Rough Sets and Intelligent Systems – Professor Zdzisław Pawlak in Memoriam. Ser. Intelligent Systems Reference Library, vol. 42, Springer, Berlin, 2013, pp. 185-209.
  • A. Skowron, M.K. Chakraborty, J. Grzymała-Busse, V. Marek, S.K. Pal, J.F. Peters, D. Ślęzak, R. Słowiński, S. Tsumoto, A. Wakulicz-Deja, G. Wang: Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence. Chapter 1 [in]: A. Skowron, Z. Suraj (eds.), Rough Sets and Intelligent Systems – Professor Zdzisław Pawlak in Memoriam. Ser. Intelligent Systems Reference Library, vol. 42, Springer, Berlin, 2013, pp. 1-56.

2012

  • R.Słowiński, S.Greco, B.Matarazzo: Rough Set and Rule-based Multicriteria Decision Aiding. Pesquisa Operacional, 32 (2012), no.2, 213-269.
  • S.Corrente, S.Greco, R.Słowiński: Multiple Criteria Hierarchy Process in Robust Ordinal Regression. Decision Support Systems, 53 (2012) no.3, 660-674.
  • M. Kadziński, R. Słowiński: Interactive robust cone contraction method for multiple objective optimization problems. Int. Journal of Information Technology and Decision Making, 11 (2012) no.2, 327-357.
  • S.Greco, R.Słowiński, I.Szczęch: Properties of rule interestingness measures and alternative approaches to normalization of measures. Information Sciences, 216 (2012) 1-16.
  • M.Kadziński, S.Greco, R.Słowiński:  Selection of a representative set of parameters for robust ordinal regression outranking methods. Computers & Operations Research, 39 (2012) 2500-2519.
  • J. Błaszczyński, S. Greco, R. Słowiński: Inductive discovery of laws using monotonic rules. Engineering Applications of Artificial Intelligence, 25 (2012) no. 2, 284–294.
  • S. Greco, B. Matarazzo, R. Słowiński: The bipolar complemented de Morgan Brouwer-Zadeh distributive lattice as an algebraic structure for the Dominance-based Rough Set Approach. Fundamenta Informaticae, 115 (2012) 25–56.
  • S.Greco, M.Kadziński, V.Mousseau, R.Słowiński: Robust ordinal regression for multiple criteria group decision: UTAGMS-GROUP and UTADISGMS-GROUP. Decision Support Systems, 52 (2012) no. 3, 549–561.
  • S.Greco, M.Kadziński, R.Słowiński: Extreme ranking analysis in robust ordinal regression. OMEGA, 40 (2012) 488-501. M.Kadziński,
  • S.Greco, R.Słowiński: Selection of a representative value function in robust multiple criteria ranking and choice. European Journal of Operational Research, 217 (2012) no.3, 541-553.
  • Jing-Tao Yao, Yan Yang, R.Słowiński, S.Greco, Huaxiong Li, S.Mitra, L.Polkowski (eds.), Rough Sets and Current Trends in Computing (RSCTC 2012). LNCS 7413, Springer, Berlin, 2012.
  • J.Błaszczyński, S.Greco, B.Matarazzo, R.Słowiński, M.Szeląg: jMAF - Dominance-based Rough Set Data Analysis Framework. Chapter 5 [in]:A.Skowron, Z.Suraj (eds.), Rough Sets and Intelligent Systems – Professor Zdzisław Pawlak in Memoriam. Ser. Intelligent Systems Reference Library, vol. 42, Springer, Berlin, 2012, pp. 185-209.
  • A.Skowron, M.K.Chakraborty, J.Grzymała-Busse, V.Marek, S.K.Pal, J.F.Peters, D.Ślęzak, R.Słowiński, S.Tsumoto, A.Wakulicz-Deja, G.Wang: Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence. Chapter 1 [in]: A.Skowron, Z.Suraj (eds.), Rough Sets and Intelligent Systems – Professor Zdzisław Pawlak in Memoriam. Ser. Intelligent Systems Reference Library, vol. 42, Springer, Berlin, 2012, pp. 1-56.
  • J.Błaszczyński, R.Słowiński, M.Szeląg: Induction of ordinal classification rules from incomplete data. [In]: J.T.Yao et al. (eds.): Rough Sets and Current Trends in Computing (RSCTC 2012), LNCS 7413, Springer, Berlin, 2012, pp. 56-65.
  • S.Greco, R.Słowiński, I.Szczęch: Analysis of symmetry properties for Bayesian confirmation measures. [In]: Tianrui Li et al. (eds.): Rough Sets and Knowledge Technology (RSKT 2012), LNCS 7414, Springer, Berlin, 2012, pp. 207-214.
  • Ł.Pałkowski, J.Błaszczyński, J.Krysiński, R.Słowiński, A.Skrzypczak, J.Błaszczak, E.Gospodarek, J.Wróblewska: Application of Rough Set Theory to prediction of antimicrobial activity of bis-quaternary ammonium chlorides. [In]: Tianrui Li et al. (eds.): Rough Sets and Knowledge Technology (RSKT 2012), LNCS 7414, Springer, Berlin, 2012, pp. 107-116.
  • J.Błaszczyński, W.Deng, F.Hu, R.Słowiński, M.Szeląg, G.Wang: On different ways of handling inconsistencies in ordinal classification with monotonicity constraints. [In]: S.Greco et al. (eds.): IPMU 2012, Part I, Communications in Computer and Information Science, CCIS 297, Springer, Berlin, 2012, pp. 300-309.
  • S.Greco, B.Matarazzo, R.Słowiński: Distinguishing Vagueness From Ambiguity by Means of Pawlak-Brouwer-Zadeh Lattices. [In]: S. Greco et al. (eds.): IPMU 2012, Part I, Communications in Computer and Information Science, CCIS 297, Springer, Berlin, 2012, pp. 624-632.
  • D.O’Sullivan, Sz.Wilk, W.Michalowski, R.Słowiński, R.Thomas, K.Farion: Discovering the preferences of physicians with regards to rank-ordered medical documents. [In]: S. Greco et al. (eds.): IPMU 2012, Part III, Communications in Computer and Information Science, CCIS 299, Springer, Berlin, 2012, pp. 142-150.
  • M.Gurrieri, X.Siebert, Ph.Fortemps, S.Greco, R.Słowiński: A New Rule-based Label Ranking Method. [In]: S. Greco et al. (eds.): IPMU 2012, Part I, Communications in Computer and Information Science, CCIS 297, Springer, Berlin, 2012, pp. 613-623.L.Del Vasto-Terrientes,
  • A.Valls, P.Zielniewicz, R.Słowiński: Extending concordance and discordance relations to hierarchical sets of criteria in ELECTRE-III method. [In]: Torra, V.; Narukawa, Y.; Lopez, B.; Villaret, M. (eds.), Modeling Decisions for Artificial Intelligence (MDAI 2012), LNAI 7647, Springer, Berlin, 2012, pp. 78-89.R.Słowiński: Czterdzieści lat istnienia Oddziału Polskiej Akademii Nauk w Poznaniu. NAUKA 2/2012, 53-79.

2011

  • S.Greco, B.Matarazzo, R.Słowiński, S.Zanakis: Global investing risk: a case study of knowledge assessment via rough sets. Annals of Operations Research, 185 (2011) 105–138
  • J.Błaszczyński, R.Słowiński, M.Szeląg: Sequential covering rule induction algorithm for variable consistency rough set approaches. Information Sciences, 181 (2011) 987-1002
  • S. Greco, M. Kadziński, R. Słowiński: Selection of a representative value function in robust multiple criteria sorting. Computers & Operations Research, 38 (2011) 1620–1637
  • S.Greco, B.Matarazzo, R.Słowiński: Interactive multiobjective mixed-integer optimization using dominance-based rough set approach. [In]: R.H.C.Takahashi, K.Deb, E.F.Wanner, S.Greco (eds.): Evolutionary Multi-Criterion Optimization (EMO 2011), LNCS 6576, Springer, Berlin, 2011, pp. 241–253.
  • S. Greco, M. Kadziński, V. Mousseau, R. Słowiński: ELECTREGKMS: Robust ordinal regression for outranking methods. European Journal of Operational Research, 214 (2011) no.10, 118-135
  • M.G. Augeri, R. Colombrita, S. Greco, A. Lo Certo, B. Matarazzo, R. Słowiński: Dominance-Based Rough Set Approach to budget allocation in highway maintenance activities. Journal of Infrastructure Systems, 17 (2011) no. 2, 75.
  • M. Szeląg, S. Greco, J. Błaszczyński, R. Słowiński: Case-based Reasoning using Dominance-based Decision Rules. [In]: J.T. Yao et al. (eds.): RSKT 2011, LNCS 6954, Springer, Heidelberg, 2011, pp. 404-413.
  • J. Błaszczyński, R. Słowiński, R. Susmaga: Rule-based estimation of attribute relevance. [In]: J.T. Yao et al. (eds.): RSKT 2011, LNCS 6954, Springer, Heidelberg, 2011, pp. 36-44.
  • S. Greco, B. Matarazzo, R. Słowiński: Dominance-based Rough Set Approach on pairwise comparison tables to decision involving multiple decision makers. [In]: J.T. Yao et al. (eds.): RSKT 2011, LNCS 6954, Springer, Heidelberg, 2011, pp. 126-135.
  • R. Słowiński: Poznań jako ośrodek naukowy – pozycja w kraju i w Europie. NAUKA, 4/2011, 109-124.

2010

  • S.Greco, B.Matarazzo, R.Słowiński: Dominance-based rough set approach to decision under uncertainty and time preference. Annals of Operations Research, 176 (2010) 41-75.
  • K.Dembczyński, W.Kotłowski, R.Słowiński: ENDER – a statistical framework for boosting decision rules. Data Mining and Knowledge Discovery, 21 (2010) no.1, 52-90.
  • S.Greco, V.Mousseau, R.Słowiński: Multiple criteria sorting with a set of additive value functions. European Journal of Operational Research, 207 (2010), no.3, 1455-1470.
  • B.Roy, R.Słowiński: Multicriteria Task Allocation to Heterogenious Processors with Capacity and Mutual Exclusion Constraints. Chapter 11 [in]: V.Th.Paschos (ed.), Applications of Combinatorial Optimization, ISTE & J.Wiley, London, 2010, pp. 237-364.
  • K.Dembczyński, W.Kotłowski, R.Słowiński, M.Szeląg: Learning of Rule Ensembles for Multiple Attribute Ranking Problems. [In]: J.Fürnkranz, E.Hüllermeier (eds.), Preference Learning, Springer, Berlin, 2010, pp. 217-247.
  • J.Branke, S.Greco, R.Słowiński, P.Zielniewicz: Interactive evolutionary multiobjective optimization driven by robust ordinal regression. Bulletin of the Polish Academy of Sciences, Technical Sciences, 58 (2010) no.3, 347–358.
  • J.Figueira, S.Greco, B.Roy, R.Słowiński: ELECTRE Methods: Main Features and Recent Developments. Chapter 3 [in]: C.Zopounidis, P.M.Pardalos (eds.), Handbook of Multicriteria Analysis. Springer, Berlin, 2010, pp. 51-89.
  • S.Greco, B.Matarazzo, R.Słowiński: Algebra and Topology for Dominance-based Rough Set Approach. [In]: Z.W.Raś, L.-S.Tsay (eds.), Advances in Intelligent Information Systems, Studies in Computational Intelligence, vol. 265, Springer, Berlin, 2010, pp. 43-78.
  • K.Dembczyński, W.Kotłowski, R.Słowiński: Beyond sequential covering – boosted decision rules. [In]: J.Kacprzyk, J.Koronacki, Z.Raś, S.Wierzchoń (eds.), Recent Advances in Machine Learning I. Studies in Computational Intelligence, vol. 262, Springer, Berlin, 2010, pp. 209-225.
  • S.Greco, B.Matarazzo, R.Słowiński: Ordinal qualitative scales. [In]: M.Ehrgott, B.Naujoks, T.J.Stewart, J.Wallenius (eds.), Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems. LNEMS 634, Springer, Berlin, 2010, pp. 269-276.
  • J. Błaszczyński, R. Słowiński, J. Stefanowski: Variable consistency bagging ensembles. Transactions on Rough Sets XI (LNCS 5946), Springer, Berlin, 2010, pp. 40-52.
  • S.Greco, B.Matarazzo, R.Słowiński: Dominance-based Rough Set Approach to Granular Computing. Chapter 19 [in]: J.-T.Yao (ed.): Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation, IGI Global, Hershey PA, 2010, pp. 378-424.
  • S.Greco, B.Matarazzo, R.Słowiński: On Topological Dominance-based Rough Set Approach. Transactions on Rough Sets XII (LNCS 6190), Springer, Berlin, 2010, pp. 21-45.
  • S.Greco, R.Słowiński, J.Figueira, V.Mousseau: Robust ordinal regression. Chapter 9 [in]: M.Ehrgott, J.Figueira, S.Greco, (eds.), Trends in Multiple Criteria Decision Analysis. Springer, New York, 2010, pp. 241-283.
  • S.Greco, R.Słowiński, I.Szczęch: Alternative normalization schemas for Bayesian confirmation measures. [In]: E.Hüllermeier, R.Kruse, F.Hoffmann (eds.): Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2010), LNAI 6178, Springer, Berlin, 2010, pp. 230–239.
  • S.Greco, B.Matarazzo, R.Słowiński: Dominance-Based Rough Set Approach to Preference Learning from Pairwise Comparisons in Case of Decision under Uncertainty. [In]: E.Hüllermeier, R.Kruse, F.Hoffmann (eds.): Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2010), LNAI 6178, Springer, Berlin, 2010, pp. 584–594.
  • J.Błaszczyński, R.Słowiński, M.Szeląg: Learnability in Rough Set Approaches. [In]: M.Szczuka et al. (eds.): Rough Sets and Current Trends in Computing (RSCTC 2010), LNAI 6086, Springer, Berlin, 2010, pp. 402–411.
  • R.Słowiński: New Applications and Theoretical Foundations of the Dominance-based Rough set Approach. [In]: M.Szczuka et al. (eds.): Rough Sets and Current Trends in Computing (RSCTC 2010), LNAI 6086, Springer, Berlin, 2010, pp. 2–3.
  • J.Błaszczyński, R.Słowiński, M.Szeląg: Probabilistic Rough Set Approaches to Ordinal Classification with Monotonicity Constraints. [In]: E.Hüllermeier, R.Kruse, F.Hoffmann (eds.): Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2010), LNAI 6178, Springer, Berlin, 2010, pp. 99–108.
  • J. Błaszczyński, R. Słowiński, J. Stefanowski: Ordinal Classification with Monotonicity Constraints by Variable Consistency Bagging. [In]: M.Szczuka et al. (eds.): Rough Sets and Current Trends in Computing (RSCTC 2010), LNAI 6086, Springer, Berlin, 2010, pp. 392–401.
  • S.Greco, B.Matarazzo, R.Słowiński: Interactive Evolutionary Multiobjective Optimization using Dominance-based Rough Set Approach. [In]: Proc. WCCI 2010, IEEE World Congress on Computational Intelligence, July, 18-23, 2010, Barcelona, Spain, pp. 3026-3033.
  • R.Słowiński: Knowledge Discovery about Preferences Using the Dominance-based Rough Set Approach. [In]: J.Yu et al. (eds.) Rough Set and Knowledge Technology (RSKT 2010), LNAI 6401, Springer, Berlin, 2010, pp. 4-5.
  • S.Greco, B.Matarazzo, R.Słowiński: Dominance-based Rough Set Approach to Interactive Evolutionary Multiobjective Optimization. [In]: S.Greco, R.A.Marques Pereira, M.Squillante, R.R.Yager, J.Kacprzyk (eds.), Preferences and Decisions: Models and Applications, Studies in Fuzziness, vol. 257, Springer, Berlin, 2010, pp. 225-260.

2009

  • J.Figueira, S.Greco, R.Słowiński: Building a set of additive value functions representing a reference preorder and intensities of preference: GRIP method. European J. Operational Research, 195 (2009) no.2, 460-486.
  • K.Dembczyński, S.Greco, R.Słowiński: Rough set approach to multiple criteria classification with imprecise evaluations and assignments. European J. Operational Research, 198 (2009) no.2, 626-636.
  • S.Greco, R.Słowiński, I.Szczęch: Analysis of monotonicity properties of some rule interestingness measures. Control and Cybernetics, 38 (2009) no.1, 9-25.
  • K.Dembczyński, W.Kotłowski, R.Słowiński: Learning rule ensembles for ordinal classification with monotonicity constraints. Fundamenta Informaticae, 94 (2009) no.2, 163-178.
  • J.Błaszczyński, S.Greco, R.Słowiński, M.Szeląg: Monotonic variable consistency rough set approaches. International Journal of Approximate Reasoning, 50 (2009) no.7, 979–999.
  • R.Słowiński, S.Greco, B.Matarazzo: Rough Sets in Decision Making. [In]: R.A.Meyers (ed.): Encyclopedia of Complexity and Systems Science, Springer, New York, 2009, pp. 7753-7786.
  • S.Greco, B.Matarazzo, R.Słowiński: Granular Computing and Data Mining for Ordered Data – the Dominance-based Rough Set Approach. [In]: R.A.Meyers (ed.): Encyclopedia of Complexity and Systems Science, Springer, New York, 2009, pp. 4283-4305.
  • S. Greco, B. Matarazzo and R. Słowiński: DARWIN: Dominance-based rough set Approach to handling Robust Winning solutions in INteractive multiobjective optimization. [In]: Proc. 5th Intl Workshop on Preferences and Decisions, Trento, April 6-8, 2009, pp. 34-41.
  • J.Branke, S.Greco, R.Słowiński, P.Zielniewicz: Interactive evolutionary multiobjective optimization using robust ordinal regression. [In]: M.Ehrgott, C.M.Fonseca, X.Gandibleux, J.-K.Hao, M.Sevaux (eds.), Evolutionary Multi-Criterion Optimization (EMO'09), LNCS 5467, Springer, Berlin, 2009, pp. 554-568.
  • R. Słowiński: Rough set approach to knowledge discovery about preferences. [In]: N.T.Nguyen, R.Kowalczyk, S.-M.Chen (eds.), Computational Collective Intelligence (ICCCI 2009), LNCS 5796, Springer, Berlin, 2009, pp. 1-21.
  • J.Błaszczyński, R.Słowiński, J.Stefanowski: Feature Set-based Consistency Sampling in Bagging Ensembles. [In]: A.Knobe, J.Fürnkranz (eds.), Proc. of the Workshop From Local to Global Models at the European Conference on Machine Learning & Principles of Knowledge Discovery in Databases (ECML/PKDD 2009), Bled, Sept. 7-11, 2009, pp. 19-35.
  • S.Greco, V.Mousseau, R.Słowiński: The possible and the necessary for multiple criteria group decision. [In]: F.Rossi, A.Tsoukias (eds.), Algorithmic Decision Theory. LNAI 5783, Springer, Berlin, 2009, pp. 203-214.
  • W. Kotłowski, R. Słowiński: Rule learning with monotonicity constraints. [In]: Proc. 26th Annual International Conference on Machine Learning (ICML 2009), Omnipress, Montreal, 2009, pp. 537—544. ACM International Conference Proceedings Series, vol. 382, 2009, Article number 67.
  • R. Słowiński: Interactive robust multiobjective optimization driven by decision rule preference model. [In]: V. Torra, Y. Narukawa, M. Inuiguchi (eds.), Modeling Decisions for Artificial Intelligence, LNCS 5861, Berlin, 2009, pp. 1-4.

2008

  • K. Dembczyński, W. Kotłowski, R. Słowiński: Maximum likelihood rule ensembles. [In]: Proc. 25th Annual International Conference on Machine Learning (ICML 2008), Omnipress, Helsinki, 2008, pp. 224–231.
  • B.Roy, R.Słowiński: Handling effects of reinforced preference and counter-veto in credibility of outranking. European J. Operational Research, 188 (2008) no.1, 185-190.
  • S.Greco, V.Mousseau, R.Słowiński: Ordinal regression revisited: multiple criteria ranking with a set of additive value functions. European J. Operational Research, 191 (2008) 415-435.
  • J.Figueira, S.Greco, R.Słowiński: Building a set of additive value functions representing a reference preorder and intensities of preference: GRIP method. European J. Operational Research 195 (2009) 460-486.
  • S.Greco, B.Matarazzo, R.Słowiński: Parameterized rough set model using rough membership and Bayesian confirmation measures. International Journal of Approximate Reasoning, 49 (2008) 285-300.
  • W.Kotłowski, K.Dembczyński, S.Greco, R.Słowiński: Stochastic dominance-based rough set model for ordinal classification. Information Sciences, 178 (2008) no. 21, 4019-4037. 
  • Ph.Fortemps, S.Greco, R.Słowiński: Multicriteria decision support using rules that represent rough-graded preference relations. European J. Operational Research, 188 (2008) no.1, 206-223.
  • S.Greco, B.Matarazzo, R.Słowiński: Fuzzy set extensions of the dominance-based rough set approach. Chapter III.3 [in]: H.Bustince, F.Herrera and J.Montero (eds.), Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Studies in Fuzziness and Soft Computing, vol. 220, Springer-Verlag, Berlin, 2008, pp. 239-261.
  • S.Greco, B.Matarazzo, R.Słowiński: Granular computing for reasoning about ordered data: the dominance-based rough set approach. Chapter 15 [in]: W.Pedrycz, A.Skowron, V.Kreinovich (eds.): Handbook of Granular Computing. John Wiley & Sons, Chichester, 2008, pp. 347-373.
  • S.Greco, B.Matarazzo, R.Słowiński: Interactive multiobjective optimization using Dominance-based Rough Set Approach. Journal of Chongqing University of Posts and Telecommunications, 20 (2008) no.3, 272-281.
  • R.Słowiński, S.Greco, J.Figueira, V.Mousseau: Robust ranking of multi-criteria alternatives using value functions compatible with holistic preference information. Journal of Chongqing University of Posts and Telecommunications, 20 (2008) no.3, 324-334.
  • J.Figueira, S.Greco, V.Mousseau, R.Słowiński: Interactive multiobjective optimization using a set of additive value functions. Chapter 4 [in]: J.Branke, K.Deb, K.Miettinen, R.Słowiński (eds.), Multiobjective Optimization: Interactive and Evolutionary Approaches. Springer-Verlag, Berlin, 2008, pp.97-120.
  • S.Greco, B.Matarazzo, R.Słowiński: Dominance-based rough set approach to interactive multiobjective optimization. Chapter 5 [in]: J.Branke, K.Deb, K.Miettinen, R.Słowiński (eds.), Multiobjective Optimization: Interactive and Evolutionary Approaches. Springer-Verlag, Berlin, 2008, pp.121-156.
  • V.Belton, J.Branke, P.Eskelinen, S.Greco, J.Molina, F.Ruiz, R.Słowiński: Interactive multiobjective optimization from a learning perspective. Chapter 15 [in]: J.Branke, K.Deb, K.Miettinen, R.Słowiński (eds.), Multiobjective Optimization: Interactive and Evolutionary Approaches. Springer-Verlag, Berlin, 2008, pp.405-434.
  • S.Greco, B.Matarazzo, R.Słowiński: Algebraic structures for dominance-based rough set approach. [In]: G.Wang, T.Li, J.W.Grzymala-Busse, D.Miao, A.Skowron, Y.Yao (eds.), Rough Sets and Knowledge Technology (RSKT 2008). Lecture Notes in Artificial Intelligence, vol. 5009, Springer-Verlag, Berlin, 2008, pp. 252-259.
  • K.Dembczyński, W.Kotłowski, S.Greco, R.Słowiński: Ensemble of decision rules for ordinal classification with monotonicity constraints. [In]: G.Wang, T.Li, J.W.Grzymala-Busse, D.Miao, A.Skowron, Y.Yao (eds.), Rough Sets and Knowledge Technology (RSKT 2008). Lecture Notes in Artificial Intelligence, vol. 5009, Springer-Verlag, Berlin, 2008, pp. 260-267.
  • S.Greco, B.Matarazzo, R.Słowiński: Case-based reasoning using gradual rules induced from dominance-based rough approximations. [In]: G.Wang, T.Li, J.W.Grzymala-Busse, D.Miao, A.Skowron, Y.Yao (eds.), Rough Sets and Knowledge Technology (RSKT 2008). Lecture Notes in Artificial Intelligence, vol. 5009, Springer-Verlag, Berlin, 2008, pp. 268-275.
  • R.Słowiński, S.Greco, I.Szczęch: Analysis of monotonicity properties of new normalized rule interestingness measures. [In]: P.Brezillon, G.Coppin, Ph.Lenca (eds.), Human Centered Processes. Proc. 3rd Int. Conf. HCP-2008, Delft, 8-12 June, 2008, pp. 231-242.
  • K.Dembczyński, W.Kotłowski, R.Słowiński: Solving regression by learning an ensemble of decision rules. [In]: L.Rutkowski, R.Tadeusiewicz, L.A.Zadeh, J.M.Żurada (eds.), Artificial Intelligence and Soft Computing (ICAISC 2008). Lecture Notes in Artificial Intelligence, vol.5097, Springer-Verlag, Berlin, 2008, pp. 533-544.
  • K.Dembczyński, W.Kotłowski, R.Słowiński: Ordinal classification with decision rules. [In]: Z.W.Raś, S.Tsumoto, D.Zighed (eds.), Mining Complex Data (ECML/PKDD 2007). Lecture Notes in Artificial Intelligence, vol. 4944, Springer-Verlag, Berlin, 2008, pp.169–181.
  • S.Greco, R.Słowiński, I.Szczęch: Assessing the quality of rules with a new monotonic interestingness measure Z. [In]: L.Rutkowski, R.Tadeusiewicz, L.A.Zadeh, J.M.Zurada (eds.), Artificial Intelligence and Soft Computing (ICAISC 2008). Lecture Notes in Artificial Intelligence, vol.5097, Springer-Verlag, Berlin, 2008, pp. 556-565.
  • S.Greco, B.Matarazzo, R.Słowiński: Dominance-based rough set approach and bipolar abstract rough approximation spaces. [In]: C.-C.Chan, J.W.Grzymala-Busse, W.P.Ziarko (eds.), Rough Sets and Current Trends in Computing (RSCTC 2008). Lecture Notes in Artificial Intelligence, vol. 5306, Springer-Verlag, Berlin, 2008, pp.31-40.
  • W. Kotłowski, R. Słowiński: Statistical approach to ordinal classification with monotonicity constraints. [In]: E. Hüllermeier, J. Fürnkranz (eds.): Preference Learning, Proc. ECML/PKDD 2008 Workshop, Antwerp, 2008.
  • K. Dembczyński, W. Kotłowski, R. Słowiński: A general framework for learning an ensemble of decision rules. [In]: J. Fürnkranz, A. Knobbe (red.): LeGo '08: From Local Patterns to Global Models, ECML/PKDD 2008 Workshop, Antwerpia, Belgia 2008.
  • J.Błaszczyński, B.Prędki, R.Słowiński: Telesfor – telemedical real-time communication support system. [In]: E.Piętka, J.Kawa (eds.), Information Technologies in Biomedicine. Advances in Soft Computing, vol. 47, Springer-Verlag, Berlin, 2008, pp. 497-504.

2007

  • S.Greco, B.Matarazzo, R.Słowiński: Dominance-based Rough Set Approach as a proper way of handling graduality in rough set theory. Transactions on Rough Sets VII, LNCS 4400, Springer-Verlag, Berlin, 2007, pp. 36-52.
  • S.Greco, B.Matarazzo, R.Słowiński: Customer satisfaction analysis based on rough set approach. Zeitschrift für Betriebswirtschaft, 16 (2007) no.3, 325-339.
  • W.Michalowski, M.Kersten, R.Słowiński, Sz.Wilk: Designing Man-Machine Interactions for Mobile Clinical Systems: MET Triage Support on Palm Handheld. European J. Operational Research, 177 (2007) no.3, 1409-1417.
  • J.Błaszczyński, S.Greco, R.Słowiński: Multi-criteria classification – a new scheme for application of dominance-based decision rules. European J. Operational Research, 181 (2007) no.3, 1030-1044. 
  • J.Błaszczyński, S.Greco, R.Słowiński, M.Szeląg: Monotonic variable consistency rough set approaches. [In]: J.T.Yao, P.Lingras, W.-Z.Wu, M.Szczuka, N.J.Cercone, D.Ślęzak (eds.), Rough Sets and Knowledge Technology. LNAI 4481, Springer-Verlag, Berlin, 2007, pp.126-133.
  • K.Dembczyński, S.Greco, W.Kotłowski, R.Słowiński: Optimized generalized decision in dominance-based rough set approach. [In]: J.T.Yao, P.Lingras, W.-Z.Wu, M.Szczuka, N.J.Cercone, D.Ślęzak (eds.), Rough Sets and Knowledge Technology. LNAI 4481, Springer-Verlag, Berlin, 2007, pp.118-125. 
  • K.Dembczyński, S.Greco, W.Kotłowski, R.Słowiński: Relationship between loss functions and confirmation measures. [In]: A.An, J.Stefanowski, S.Ramanna, C.J.Butz, W.Pedrycz, G.Wang (eds.): Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. LNAI 4482, Springer-Verlag, Berlin, 2007, pp.338-345. 
  • S.Greco, R.Słowiński, Y.Yao: Bayesian decision theory for dominance-based rough set approach. [In]: J.T.Yao, P.Lingras, W.-Z.Wu, M.Szczuka, N.J.Cercone, D.Ślęzak (eds.): Rough Sets and Knowledge Technology. LNAI 4481, Springer-Verlag, Berlin, 2007, pp.134-141. 
  • S.Greco, R.Słowiński, J.Stefanowski: Evaluating importance of conditions in the set of discovered rules. [In]: A.An, J.Stefanowski, S.Ramanna, C.J.Butz, W.Pedrycz, G.Wang (eds.): Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. LNAI 4482, Springer-Verlag, Berlin, 2007, pp.314-321.
  • R.Słowiński, S.Greco, B.Matarazzo: Dominance-based rough set approach to reasoning about ordinal data. Keynote lecture [in]: M.Kryszkiewicz, J.F.Peters, H.Rybiński, A.Skowron (eds.): Rough Sets and Intelligent Systems Paradigms. LNAI 4585, Springer-Verlag, Berlin, 2007, pp. 5–11.
  • I.Brzezińska, S.Greco, R.Słowiński: Mining Pareto-optimal rules with respect to support and confirmation or support and anti-support. Engineering Applications of Artificial Intelligence, 20 (2007) 587-600.
  • R.Słowiński, I.Szczęch, M.Urbanowicz, S.Greco: Mining association rules with respect to support and anti-support – experimental results. [In]: M.Kryszkiewicz, J.F.Peters, H.Rybiński, A.Skowron (eds.): Rough Sets and Intelligent Systems Paradigms. LNAI 4585, Springer-Verlag, Berlin, 2007, pp. 534–542.
  • J.Figueira, S.Greco, R.Słowiński: Building a set of additive value functions representing a reference preorder and intensities of preference: GRIP method. Cahier du LAMSADE no. 253, Université de Paris Dauphine, Paris, 2007, and European J. Operational Research.
  • K.Dembczyński, S.Greco, W.Kotłowski, R.Słowiński: Statistical model for rough set approach to multicriteria classification. [In]:  J.N.Kok, J.Koronacki, R.L.de Mantaras, S.Matwin, D.Mladenic, A.Skowron (eds.): Knowledge Discovery in Databases (PKDD 2007), LNAI 4702, Springer-Verlag, Berlin, 2007, pp. 164-175.
  • R.Słowiński, S.Greco, B.Matarazzo: Dominancie-based Rough Set Approach to Multiple Criteria Decision Support. Chapter 1 [in]: T.Trzaskalik (ed.), Multiple Criteria Decision Making’06, Publishing House of the K.Adamiecki University of Economics in Katowice, Katowice, 2007, pp. 9-56.
  • S.Greco, V.Mousseau, R.Słowiński: Robust multiple criteria ranking using a set of additive value functions. [In]: B.Roy, M.A.Aloulou, R.Kalai, Robustness in OR-DA, Annales du LAMSADE, vol.7, Paris, 2007, pp. 95-128.

2006

  • B.Roy, R.Słowiński: Multi-criteria assignment problem with incompatibility and capacity constraints. Annals of Operations Research, 147 (2006) 287-316.
  • S.Greco, B.Matarazzo, R.Słowiński: Dominance-based Rough Set Approach to Case-Based Reasoning. [In]: V. Torra, Y. Narukawa, A. Valls, J. Domingo-Ferrer (eds.): Modelling Decisions for Artificial Intelligence. Lecture Notes in Artificial Intelligence, vol. 3885, Springer-Verlag, Berlin, 2006, pp. 7-18.
  • S.Greco, B.Matarazzo, R.Słowiński: Rough set approach to customer satisfaction analysis. [In]: S.Greco, Y.Hata, S.Hirano, M.Inuiguchi, S.Miyamoto, H.S.Nguyen, R.Słowiński (eds.): Rough Sets and Current Trends in Computing (RSCTC 2006). Lecture Notes in Artificial Intelligence, vol. 4259, Springer-Verlag, Berlin, 2006, pp. 284-295.
  • K.Dembczyński, S.Greco, W.Kotłowski, R.Słowiński: Quality of rough approximation in multi-criteria classification problems. [In]: S.Greco, Y.Hata, S.Hirano, M.Inuiguchi, S.Miyamoto, H.S.Nguyen, R.Słowiński (eds.): Rough Sets and Current Trends in Computing (RSCTC 2006). Lecture Notes in Artificial Intelligence, vol. 4259, Springer-Verlag, Berlin, 2006, pp. 318-327.
  • J.Błaszczyński, S.Greco, R.Słowiński, M.Szeląg: On variable consistency dominance-based rough set approaches. [In]: S.Greco, Y.Hata, S.Hirano, M.Inuiguchi, S.Miyamoto, H.S.Nguyen, R.Słowiński (eds.): Rough Sets and Current Trends in Computing (RSCTC 2006). Lecture Notes in Artificial Intelligence, vol. 4259, Springer-Verlag, Berlin, 2006, pp. 191-202.
  • J.Błaszczyński, K.Dembczyński, W.Kotłowski, R.Słowiński, M.Szeląg: Ensembles of decision rules for solving binary classification problems in the presence of missing values. [In]: S.Greco, Y.Hata, S.Hirano, M.Inuiguchi, S.Miyamoto, H.S.Nguyen, R.Słowiński (eds.): Rough Sets and Current Trends in Computing (RSCTC 2006). Lecture Notes in Artificial Intelligence, vol. 4259, Springer-Verlag, Berlin, 2006, pp. 224-234.
  • S.Greco, B.Matarazzo, R.Słowiński: Dominance-based rough set approach to decision involving multiple decision makers. [In]: S.Greco, Y.Hata, S.Hirano, M.Inuiguchi, S.Miyamoto, H.S.Nguyen, R.Słowiński (eds.): Rough Sets and Current Trends in Computing (RSCTC 2006). Lecture Notes in Artificial Intelligence, vol. 4259, Springer-Verlag, Berlin, 2006, pp. 306-317.
  • J.Błaszczyński, K.Dembczyński, R.Słowiński: Interactive analysis of preference-ordered data using dominance-based rough set approach. [In]: L.Rutkowski, R.Tadeusiewicz, L.A.Zadeh, J.Zurada (eds.): Artificial Intelligence and Soft Computing (ICAISC 2006). Lecture Notes in Artificial Intelligence, vol. 4029, Springer-Verlag, Berlin, 2006, pp. 489-498.
  • K.Dembczyński, W.Kotłowski, R.Słowiński: Additive preference model with piecewise linear components resulting from dominance-based rough set approximations. [In]: L.Rutkowski, R.Tadeusiewicz, L.A.Zadeh, J.Zurada (eds.): Artificial Intelligence and Soft Computing (ICAISC 2006). Lecture Notes in Artificial Intelligence, vol. 4029, Springer-Verlag, Berlin, 2006, pp. 499-508.
  • R.Słowiński, I.Brzezińska, S.Greco: Application of Bayesian confirmaton measures for mining rules from support-confidence Pareto-optimal set. [Invited paper in]: L.Rutkowski, R.Tadeusiewicz, L.A.Zadeh, J.Zurada (eds.), Artificial Intelligence and Soft Computing (ICAISC 2006). Lecture Notes in Artificial Intelligence, vol. 4029, Springer-Verlag, Berlin, 2006, pp. 1018-1026.
  • J.Błaszczyński, K.Dembczyński, W.Kotłowski, R.Słowiński, M.Szeląg: Ensembles of decision rules. Foundations of Computing and Decision Sciences, 31 (2006) no.3-4, 221-232.
  • S.Greco, B.Matarazzo, R.Słowiński: Rough set approach to time preferences under uncertainty. [In]: P.Amenta, L.D’Ambra, M.Squillante, A.Ventre (eds.), Metodi, Modelli e Tecnologie dell’informazione a supporto delle decisioni. FrancoAngeli, Milano, 2006, pp.57-74.

2005

  • R.Słowiński, S.Greco, B.Matarazzo: Rough set based decision support. Chapter 16 [in]: E.K. Burke and G. Kendall (eds.), Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, Springer-Verlag, New York, 2005, pp. 475-527.
  • S.Greco, M.Inuiguchi, R.Słowiński: Fuzzy rough sets and multiple-premise gradual decision rules. International Journal of Approximate Reasoning, 41 (2005) 179-211.
  • Sz.Wilk, R.Słowiński, W.Michałowski, S.Greco: Supporting triage of children with abdominal pain in the emergency room. European Journal of Operational Research, 160 (2005) 696-709. S.Greco, B.Matarazzo, R.Słowiński: Decision rule approach. Chapter 13 [in]: J.Figueira, S.Greco and M.Ehrgott (eds.), Multiple Criteria Decision Analysis: State of the Art Surveys, Springer-Verlag, New York, 2005, pp. 507-562.
  • S.Greco, B.Matarazzo, N.Pappalardo, R.Słowiński: Measuring expected effects of interventions based on decision rules. Journal of Experimental and Applied Artificial Intelligence, 17 (2005) no. 1-2, 103-118.
  • M.Inuiguchi, S.Greco, R.Słowiński: Modus ponens and modus tollens associated with rough gradual decision rules induced from a decision table. International Journal of Hybrid Intelligent Systems, 2 (2005) 109-131.
  • S.Greco, V.Mousseau, R.Słowiński: Ordinal regression revisited: multiple criteria ranking with a set of additive value functions. Cahier du LAMSADE no.240, Universié de Paris-Dauphine, 2005.
  • W.Michalowski, Sz.Wilk, K.Farion, J.Pike, S.Rubin, R.Słowiński: Development of a decision algorithm to support emergency triage of scrotal pain and its implementation in the MET system. INFOR, 43 (2005) no.4, 287-301.
  • W. Michalowski, R. Słowiński, Sz. Wilk, K. Farion, J. Pike, S. Rubin: Design and development of a mobile system for supporting emergency triage. Methods of Information in Medicine, 44 (2005) 14-24 (selected by International Medical Informatics Association for 2006 IMIA Yearbook of Medical Informatics).
  • R.Słowiński, S.Greco: Measuring attractiveness of rules from the viewpoint of knowledge representation, prediction and efficiency of intervention. [In]: P.Szczepaniak, J.Kacprzyk, A.Niewiadomski (eds.), Advances in Web Intelligence. Lecture Notes in Artificial Intelligence, vol. 3528, Springer-Verlag, Berlin, 2005, pp. 1-12.
  • R.Słowiński: Internet nowej generacji jako wirtualna przestrzeń nauki. [W]: Przestrzenie nauki. Fundacji Dyskusje o Nauce, vol. 9, Fundacja na Rzecz Nauki Polskiej, Warszawa, 2005, str. 57-71.
  • R.Słowiński: Internetowa przestrzeń nauki. Zagadnienia Naukoznawstwa, 2 (164), 2005, 191-213.
  • S.Greco, B.Matarazzo, R.Słowiński: Rough membership and Bayesian confirmation measures for parameterized rough sets. [In]: D.Ślęzak, G.Wang, M.Szczuka, I.Düntsch, Y.Yao (eds.), Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing I. Lecture Notes in Artificial Intelligence, vol. 3641, Springer-Verlag, Berlin, 2005, pp. 314-324.
  • K.Dembczyński, S.Greco, R.Słowiński: Second-order rough approximations in multi-criteria classification with imprecise evaluations and assignments. [In]: D.Ślęzak, G.Wang, M.Szczuka, I.Düntsch, Y.Yao (eds.), Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing I. Lecture Notes in Artificial Intelligence, vol. 3641, Springer-Verlag, Berlin, 2005, pp. 54-63.
  • S.Greco, B.Matarazzo, R.Słowiński: Generalizing rough set theory through dominance-based rough set approach. [In]: D.Ślęzak, G.Wang, M.Szczuka, I.Düntsch, Y.Yao (eds.), Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing II. Lecture Notes in Artificial Intelligence, vol. 3642, Springer-Verlag, Berlin, 2005, pp. 1-11.
  • R.Słowiński, S.Greco, B.Matarazzo: Rough set approach to decision support. [In]: O.Hryniewicz, J.Kacprzyk, D.Kuchta (eds.), Issues in Soft Computing, Decisions and Operations Research. Akademicka Oficyna Wydawnicza EXIT, Warszawa, 2005, pp. 87-135.
  • M.Inuiguchi, S.Greco, R.Słowiński: Equivalence of fuzzy-rough modus ponens and fuzzy-rough modus tollens. [In]: K. Nakamatsu and J.M. Abe (eds.), Advances in Logic Based Intelligent Systems. IOS Press, Amsterdam, 2005, pp. 264-271.

2004

  • S.Greco, B.Matarazzo, R.Słowiński: Axiomatic characterization of a general utility function and its particular cases in terms of conjoint measurement and rough-set decision rules. European Journal of Operational Research, 158 (2004) 271-292.
  • S.Greco, Z.Pawlak, R.Słowiński: Can Bayesian confirmation measures be useful for rough set decision rules? Engineering Applications of Artificial Intelligence, 17 (2004) no.4, 345-361.
  • W.Michałowski, R.Słowiński, Sz.Wilk: MET System: a New Approach to m-Health in Emergency Triage. The Journal on Information Technology in Healthcare, 2 (2004) no.4, 237-249.
  • S.Greco, M.Inuiguchi, R.Słowiński: A new proposal for fuzzy rough approximations and gradual decision rule representation. Transactions on Rough Sets II. Lecture Notes in Computer Science, vol. 3135, Springer-Verlag, 2004, pp. 319-342.
  • K.Farion, W.Michalowski, R.Słowiński, Sz.Wilk, S.Rubin: Rough set methodology in clinical practice: controlled hospital trial of the MET system. [In]: S.Tsumoto, R.Słowiński, J.Komorowski, J.W.Grzymala-Busse (eds.), Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol. 3066, Springer-Verlag, Berlin, 2004, pp. 797-806.
  • M.Inuiguchi, S.Greco, R.Słowiński: Fuzzy-rough modus ponens and modus tollens as a basis for approximate reasoning. [In]: S.Tsumoto, R.Słowiński, J.Komorowski, J.W.Grzymala-Busse (eds.), Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol. 3066, Springer-Verlag, Berlin, 2004, pp. 84-93.
  • S.Greco, Z.Pawlak, R.Słowiński: Bayesian confirmation measures within rough set approach. [In]: S.Tsumoto, R.Słowiński, J.Komorowski, J.W.Grzymala-Busse (eds.), Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol. 3066, Springer-Verlag, Berlin, 2004, pp. 261-270.
  • Ph.Fortemps, S.Greco, R.Słowiński: Multicriteria choice and ranking using decision rules induced from rough approximation of graded preference relations. [In]: S.Tsumoto, R.Słowiński, J.Komorowski, J.W.Grzymala-Busse (eds.), Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol. 3066, Springer-Verlag, Berlin, 2004, pp. 508-516.
  • R.Słowiński, S.Greco, Ph.Fortemps: Multicriteria decision support using rules representing rough-graded preference relations. [In]: B. De Baets, R. De Caluwe, G. De Tré, J. Fodor, J. Kacprzyk, S. Zadrożny (eds.), Current Issues in Data and Knowledge Engineering. AOW EXIT Press, Warsaw, 2004, pp. 494-504.
  • S.Greco, B.Matarazzo, N.Pappalardo, R.Słowiński: Measuring the expected impact of decision rule application. [In]: S.Tsumoto, R.Słowiński, J.Komorowski, J.W.Grzymala-Busse (eds.), Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol. 3066, Springer-Verlag, Berlin, 2004, pp. 517-522.
  • S.Greco, B.Matarazzo, R.Słowiński: Dominance-Based Rough Set Approach to Knowledge Discovery (I) – General Perspective. Chapter 20 [in]: N.Zhong, J.Liu, Intelligent Technologies for Information Analysis. Springer-Verlag, Berlin, 2004, pp. 513-552.
  • S.Greco, B.Matarazzo, R.Słowiński: Dominance-Based Rough Set Approach to Knowledge Discovery (II) – Extensions and Applications. Chapter 21 [in]: N.Zhong, J.Liu, Intelligent Technologies for Information Analysis. Springer-Verlag, Berlin, 2004, pp. 553-612.
  • S.Greco, R.Słowiński, J.Stefanowski, M.Żurawski: Incremental versus non-incremental rule induction. Transactions on Rough Sets II. Lecture Notes in Computer Science, vol. 3135, Springer-Verlag, 2004, pp. 33-53.
  • R.Słowiński, S.Greco: Inducing robust decision rules from rough approximations of a preference relation. [In]: L.Rutkowski, J.Siekmann, R.Tadeusiewicz, L.A.Zadeh (eds.), Artificial Intelligence and Soft Computing (ICAISC 2004). Lecture Notes in Artificial Intelligence, vol. 3070, Springer-Verlag, Berlin, Heidelberg, 2004, pp. 118-132.
  • J.Jelonek, E.Lukasik, A.Naganowski, R.Słowiński: Inducing jury's preferences in terms of acoustic features of violin sounds. [In]: L. Rutkowski, J. Siekmann, R. Tadeusiewicz, L.A. Zadeh (eds.), Artificial Intelligence and Soft Computing (ICAISC 2004). Lecture Notes in Artificial Intelligence, vol. 3070, Springer-Verlag, Berlin, Heidelberg, 2004, pp. 492-497.
  • R.Słowiński: Techniczne systemy informatyki jako narzędzia odkrywania wiedzy i symulacji życia. Nauka, 1 (2004) no. 3, 21-56. J.Jelonek, R.Słowiński, R.Susmaga: Sequential construction of features based on genetically transformed data. [In]: Kay Chen Tan, Meng Hiot Lim, Xin Yao, Lipo Wang (eds.), Recent Advances in Simulated Evolution and Learning. Chapter 33, World Scientific Publishing Co., Singapore, 2004, pp. 623-642.
  • L.Budzyńska, J.Jelonek, E.Lukasik, A.Naganowski, R.Słowiński, R.Susmaga: Knowledge discovery from digital media objects using preference semantics. [In]: P.Hobson, E.Izquierdo, Y.Kompatsiaris, N.O’Connor (eds.), Knowledge-Based Media Analysis for Self-Adaptive and Agile Multimedia Technology. QMUL Press, London, 2004, pp. 15-22.

2003

  • Słowiński, R.: Od sztucznej inteligencji do sztucznego życia, czyli o aktywnej funkcji informatyki. Pro Dialog, 16 (2003) 51-76
  • Masłowska, I., Słowiński, R.: Hierarchical clustering of text corpora using suffix trees. [In]: M. Kłopotek, S. Wierzchoń, K. Trojanowski (eds.), Intelligent Information Processing and Web Mining. Springer-Verlag, Berlin, 2003, pp.179- 188
  • Greco, S., Inuiguchi, M., Słowiński, R.: Possibility and necessity measures in dominance-based rough set approach. [In]: T. Tanino, T. Tanaka, M. Inuiguchi (eds.), Multiple-Objective Programming and Goal Programming – Theory and Applications. Springer-Verlag, Berlin, 2003, pp. 129-134.
  • Greco, S., Inuiguchi, M., Słowiński, R.: Rough Sets and Gradual Decision Rules. [In]: G.Wang, Q.Liu, Y.Yao, A.Skowron (Eds.): Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. Lecture Notes in Computer Science, vol. 2639, Springer-Verlag, Berlin, 2003, pp. 156-164
  • Inuiguchi, M., Greco, S., Słowiński, R., Tanino, T.: Possibility and necessity measure specification using modifiers for decision making under fuzziness. Fuzzy Sets and Systems, 137 (2003) 151-175.
  • Michalowski, W., Rubin, S., Słowiński, R., Wilk, Sz.: Mobile clinical support system for pediatric emergencies. Journal of Decision Support Systems, 36 (2003) 161-176

2002

  • Słowiński, R., Greco,S., Matarazzo, B.: Rough set analysis of preference-ordered data. [In]: J.J. Alpigini, J.F. Peters, A. Skowron, N. Zhong (eds.), Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol. 2475, Springer-Verlag, Berlin, 2002, pp. 44-59
  • Greco, S., Matarazzo, B., Słowiński, R.: Rough approximation by dominance relations, International Journal of Intelligent Systems, 17 (2002) no. 2, 153-171
  • Greco, S., Matarazzo, B., Słowiński, R.: Rough sets methodology for sorting problems in presence of multiple attributes and criteria. European J. of Operational Research, 138 (2002) no. 2, 247-259.
  • Greco, S., Matarazzo, B., Słowiński, R., Stefanowski, J.: Importance and interaction of conditions in decision rules. [In]: J.J. Alpigini, J.F. Peters, A. Skowron, N. Zhong (eds.), Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol. 2475, Springer-Verlag, Berlin, 2002, pp. 255-262
  • Greco, S., Inuiguchi, M., Słowiński, R.: Dominance-based rough set approach using possibility and necessity measures. [In]: J.J. Alpigini, J.F. Peters, A. Skowron, N. Zhong (eds.), Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol. 2475, Springer-Verlag, Berlin, 2002, pp. 85-92
  • Greco, S., Pawlak, Z., Słowiński, R.: Generalized decision algorithms, rough inference rules and flow graphs. [In]: J.J. Alpigini, J.F. Peters, A. Skowron, N. Zhong (eds.), Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol. 2475, Springer-Verlag, Berlin, 2002, pp. 93-104
  • Giove, S., Greco, S., Matarazzo, B., Słowiński, R.: Variable consistency monotonic decision trees. [In]: J.J. Alpigini, J.F. Peters, A. Skowron, N. Zhong (eds.), Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol. 2475, Springer-Verlag, Berlin, 2002, pp. 247-254
  • Greco, S., Prędki, B. Słowiński, R.: Searching for an equivalence between decision rules and concordance-discordance preference model in multicriteria choice problems. Control and Cybernetics, 31 (2002) no.4, 921-935
  • Dembczyński, K., Greco, S., Słowiński, R.: Methodology of rough-set-based classification and sorting with hierarchical structure of attributes and criteria. Control and Cybernetics, 31 (2002) no.4, 891-920
  • Słowiński, R., Greco, S., Matarazzo, B.: Axiomatization of utility, outranking and decision-rule preference models for multiple-criteria classification problems under partial inconsistency with the dominance principle. Control and Cybernetics, 31 (2002) no.4, 1005-1035
  • Greco, S., Matarazzo, B., Słowiński, R., Stefanowski, J.: Mining association rules in preference-ordered data. [In]: M.-S. Hacid, Z.W. Raś, D.A. Zighed, Y. Kodratoff (eds.), Foundations of Intelligent Systems. Lecture Notes in Artificial Intelligence, vol. 2366, Springer-Verlag, Berlin, 2002, pp. 442-450
  • Flinkman, M., Michalowski, W., Nilsson, S., Słowiński, R., Susmaga, R., Wilk, Sz.: Identifying important attributes for the Siberian forests management using rough sets analysis. [In]: T. Trzaskalik and J. Michnik (eds.), Multiple Objective and Goal Programming – Recent Developments. Physica-Verlag, Heidelberg, 2002, pp. 272- 281
  • Roy, B., Słowiński, R.: Multi-criteria assignment of tasks to heterogeneous processing units with incompatibility and capacity constraints. Cahier du LAMSADE no.194, Universié de Paris-Dauphine, 2002
  • Fortemps, Ph., Słowiński, R.: A graded quadrivalent logic for ordinal preference modelling: Loyola-like approach. Fuzzy Optimization and Decision Making 1 (2002) no.1, 93-111
  • Greco, S., Matarazzo, B., Słowiński, R.: Multicriteria classification. [In]: W.Kloesgen and J.Żytkow (eds.), Handbook of Data Mining and Knowledge Discovery, Oxford University Press, New York, 2002, chapter 16.1.9, pp. 318-328.

2001

  • Michałowski, W., Rubin, S., Słowiński, R., Wilk, Sz.: Triage of the child with abdominal pain: a clinical algorithm for emergency patient management. Paediatrics and Child Health 6 (2001) no.1, 23-28
  • Greco, S., Matarazzo, B., Słowiński, R.: Rough sets theory for multicriteria decision analysis. European J. of Operational Research 129 (2001) no.1, 1-47
  • Słowiński, R.: Fuzzy multi-objective linear programming, FMOLP. [In] C.A. Floudas and P.M. Pardalos (eds.), Encyclopedia of Optimization, Vol. II, Kluwer Academic Publishers, Boston, 2001, pp. 181-189
  • Greco, S., Matarazzo, B., Słowiński, R.: Conjoint measurement and rough set approach for multicriteria sorting problems in presence of ordinal criteria. [In]: A.Colorni, M.Paruccini, B.Roy (eds.), A-MCD-A: Aide Multi Critere a la Décision – Multiple Criteria Decision Aiding, European Commission Report EUR 19808 EN, Joint Research Centre, Ispra, 2001, pp. 117-144
  • Greco, S., Matarazzo, B., Słowiński, R.: Preference representation by means of conjoint measurement and decision rule model. [In]: D.Bouyssou, E.Jacquet-Lagreze, P.Perny, R.Słowiński, D.Vanderpooten, Ph.Vincke (eds.), Aiding Decisions with Multiple Criteria – Essays in Honor of Bernard Roy. Kluwer Academic Publishers, Boston, 2002, pp. 263-313
  • Greco, S., Matarazzo, B., Słowiński, R.: Rule-based decision support in multicriteria choice and ranking. [In] S. Benferhat, Ph. Besnard (eds.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Lecture Notes in Artificial Intelligence, vol. 2143, Springer-Verlag, Berlin, 2001, pp. 29-47
  • Greco, S., Matarazzo, B., Słowiński, R., Stefanowski, J.: An algorithm for induction of decision rules consistent with dominance principle. [In]: W.Ziarko, Y.Yao (eds.): Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol. 2005, Springer-Verlag, Berlin, 2001, pp. 304-313
  • Greco, S., Matarazzo, B., Słowiński, R., Stefanowski, J.: Variable consistency model of dominance-based rough set approach. [In]: W.Ziarko, Y.Yao (eds.): Rough Sets and Current Trends in Computing, Lecture Notes in Artificial Intelligence, vol. 2005, Springer-Verlag, Berlin, 2001, pp. 170-181
  • Greco, S., Matarazzo, B., Słowiński, R.: Rough set approach to decisions under risk. [In]: W.Ziarko, Y.Yao (eds.): Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol. 2005, Springer-Verlag, Berlin, 2001, pp. 160-169
  • Greco, S., Matarazzo, B., Słowiński, R.: Assessment of a value of information using rough sets and fuzzy measures. [W]: J. Chojcan i J. Lęski (red.), Zbiory rozmyte i ich zastosowania. Wydawnictwo Politechniki Śląskiej, Gliwice, 2001, str. 185-193
  • Flinkman, M., Michalowski, W., Nilsson, S., Słowiński, R., Wilk, Sz.: Identification of sustainable forest management practices: Siberian forest case study. [In]: M. Makowski, H. Nakayama (eds.), Natural Environment Management and Applied Systems Analysis. IR-01-021, International Institute for Applied Systems Analysis, Laxenburg, 2001, pp. 417-428

2000

  • R. Słowiński, D. Vanderpooten: A generalized definition of rough approximations based on similarity. IEEE Transactions on Data and Knowledge Engineering 12 (2000) no. 2, 331-336.
  • S. Greco, B. Matarazzo, R. Słowiński: Decision rules. [In]: Encyclopedia of Management, 4th edition, Gale Group, Farmington Hills, MI, 2000, pp. 178-183.
  • S. Greco, B. Matarazzo, R. Słowiński: Extension of the rough set approach to multicriteria decision support. INFOR 38 (2000) no.3, 161-196.
  • R. Słowiński, J. Stefanowski, S. Greco, B. Matarazzo: Rough sets based processing of inconsistent information in decision analysis. Control and Cybernetics 29 (2000) no.1, 379-404.
  • M. Hapke, A. Jaszkiewicz, R. Słowiński: Pareto simulated annealing for fuzzy multi-objective combinatorial optimization. Journal of Heuristics 6 (2000) 329-345.
  • V. Mousseau, R. Słowiński, P. Zielniewicz: A user-oriented implementation of the ELECTRE-TRI method integrating preference elicitation support. Computers & Operations Research 27 (2000) 757-777.
  • M. Flinkman, W. Michalowski, S. Nilsson, R. Słowiński, R. Susmaga, S. Wilk: Use of rough sets analysis to classify Siberian forest ecosystem according to net primary production of phytomass. INFOR 38 (2000) no.3, 145–161.
  • R. Susmaga, R. Słowiński, S. Greco, B. Matarazzo: Generation of reducts and rules in multi-attribute and multi-criteria classification. Control and Cybernetics 29, 4 (2000) 969-988.
  • S. Greco, B. Matarazzo, R. Słowiński: Fuzzy extension of the rough set approach to multicriteria and multiattribute sorting. [In]: J. Fodor, B. De Baets and P. Perny (eds.), Preferences and Decisions under Incomplete Knowledge, Physica-Verlag, Heidelberg, 2000, pp.131-151.
  • S. Greco, B. Matarazzo, R. Słowiński: Dealing with missing data in rough set analysis of multi-attribute and multi-criteria decision problems. [In]: S.H. Zanakis, G. Doukidis and C. Zopounidis (eds.), Decision Making: Recent Developments and Worldwide Applications. Kluwer Academic Publishers, Boston, 2000, pp. 295-316.
  • M. Hapke, R. Słowiński: Fuzzy set approach to multi-objective and multi-mode project scheduling under uncertainty. Chapter 9 [in]: R. Słowiński and M. Hapke (eds.), Scheduling under Fuzziness, Physica-Verlag, Heidelberg, 2000, pp. 197-222.
  • S. Greco, B. Matarazzo, R. Słowiński: Rough set processing of vague information using fuzzy similarity relations. [In]: C.S. Calude and G. Paun (eds.), Finite Versus Infinite – Contributions to an Eternal Dilemma, Springer-Verlag, London, 2000, pp.149-173.
  • S. Greco, B. Matarazzo, R. Słowiński: Fuzzy dominance-based rough set approach. [In]: F. Masulli, R. Parenti, G. Pasi (eds): Advances in Fuzzy Systems and Intelligent Technologies. Shaker Publishing, Maastricht, 2000, pp. 56-66.
  • S. Rubin, W. Michałowski, R. Słowiński, Sz. Wilk: Computer-assisted triage of abdominal pain in childhood: a suggested clinical algorithm. [In]: Proceedings of the Conference on Simulation in Health Sciences. Society for Computer Simulation, San Diego, CA, 2000, pp.19-24.

 

 

(1999-1990)

1999

  • A.I. Dimitras, R. Słowiński, R. Susmaga, C. Zopounidis: Business failure prediction using rough sets. European Journal of Operation Research 114 (1999) 49-66.
  • S. Greco, B. Matarazzo, R. Słowiński: The use of rough sets and fuzzy sets in MCDM. Chapter 14 [in]: T.Gal, T.Hanne, T.Stewart, eds. Advances in Multiple Criteria Decision Making, Kluwer Academic Publishers, Boston, 1999, pp.14.1-14.59.
  • L. Rossi, R. Słowiński, R. Susmaga: Rough set approach to evaluation of stormwater pollution. International Journal of Environment and Pollution 12 (1999) no.2/3, 232-250.
  • R. Słowiński, C. Zopounidis, A.I. Dimitras, R. Susmaga: Rough set predictor of business failure. [In]: R.A.Ribeiro, R.Yager, H.-J. Zimmermann, J.Kacprzyk, eds. Soft Computing in Financial Engineering. Physica-Verlag, Heidelberg, 1999, pp. 402-424.
  • S. Greco, B. Matarazzo, R. Słowiński: Rough approximation of a preference relation by dominance relations. European Journal of Operational Research 117 (1999) no.2, 63-83.
  • A. Jaszkiewicz, R. Słowiński: The 'Light Beam Search' approach - an overview of methodology and applications. European Journal of Operational Research 113 (1999) no.2, 300-314.
  • M. Hapke, A. Jaszkiewicz, R. Słowiński: Fuzzy multi-mode resource-constrained project scheduling with multiple objectives. [In]: J.Węglarz, ed. Project Scheduling. Recent Models, Algorithms and Applications. Kluwer Academic Publishers, Boston, 1999, pp. 355-381.
  • C.Zopounidis, R.Słowiński, M.Doumpos, A.I.Dimitras, R.Susmaga: Business failure prediction using rough sets - a comparison with multivariate analysis techniques. Fuzzy Economic Review 4 (1999) no.1, 3-33.
  • V. Mousseau, R. Słowiński, P. Zielniewicz: ELECTRE TRI 2.0a - Methodological Guide and User's Manual. Document du LAMSADE no. 111, Universite de Paris Dauphine, Paris, 1999

1998

  • H. Rommelfanger, R. Słowiński: Fuzzy linear programming with single or multiple objective functions. Chapter 6 [in]: R.Słowiński, ed. Decision Analysis, Operations Research and Statistics. Handbooks of Fuzzy Sets Series, vol. 5, Kluwer Academic Publishers, Boston, 1998, pp. 179-213.
  • V.Mousseau, R.Słowiński: Inferring an ELECTRE TRI model from assignment examples. Journal of Global Optimization 12 (1998) no.2, 175-194.
  • S. Greco, B. Matarazzo, R. Słowiński, A. Tsoukias: Exploitation of a rough approximation of the outranking relation. [In]: T.Stewart, R.van den Honert, eds. Trends in Multicriteria Decision Making. Lecture Notes in Economics and Mathematical Systems, vol. 465, Springer-Verlag, Berlin, 1998, pp. 45-60.
  • S.Greco, B.Matarazzo, R.Słowiński: A new rough set approach to evaluation of bankruptcy risk. [In]: C. Zopounidis, ed. Operational Tools in the Management of Financial Risks. Kluwer Academic Publishers, Dordrecht, 1998, pp. 121-136.
  • J.Jelonek, K.Krawiec, R.Słowiński, J.Szymaś: Grizzly – an image analysis and classification system oriented towards medical applications. Journal of Decision Systems 7 (1998) 39-53.
  • M.Hapke, A.Jaszkiewicz, R.Słowiński: Interactive analysis of multiple-criteria project scheduling problems. European Journal of Operational Research 107 (1998) 315-324.
  • R.Słowiński: Wielokryterialne wspomaganie decyzji na podstawie reguł wyindukowanych ze zbiorów przybliżonych. [W]: T.Trzaskalik, red. Metody i Zastosowania Badań Operacyjnych, Wydawnictwo Akademii Ekonomicznej w Katowicach, Katowice, 1998, pp. 19-39.
  • K. Krawiec, R. Słowiński, I. Szczesniak: Pedagodical method for extraction of symbolic knowledge from neural networks. In: L.Polkowski, A.Skowron, eds. Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol.1424. Springer-Verlag, Berlin, 1998, pp. 436-443.
  • S. Greco, B. Matarazzo, R. Słowiński: Fuzzy similarity relation as a basis for rough approximations. In: L.Polkowski, A.Skowron, eds. Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol.1424, Springer-Verlag, Berlin, 1998, pp. 283-289.
  • S. Greco, B. Matarazzo, R. Słowiński: A new rough set approach to multicriteria and multiattribute classification. In: L.Polkowski, A.Skowron, eds. Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol.1424, Springer-Verlag, Berlin, 1998, pp. 60-67.
  • K. Krawiec, R. Słowiński, D. Vanderpooten: Learning of decision rules from similarity based rough approximations. [In]: L.Polkowski, A.Skowron, eds. Rough Sets in Knowledge Discovery, vol.2. Physica-Verlag, Heidelberg, 1998, pp. 37-54.
  • S. Greco, B. Matarazzo, R. Słowiński: Rough approximation of a preference relation in a pairwise comparison table. [In]: L.Polkowski, A.Skowron, eds. Rough Sets in Knowledge Discovery, vol.2. Physica-Verlag, Heidelberg, 1998, pp. 13-36.
  • R. Słowiński, J. Stefanowski: Rough family - software implementation of the rough set theory. [In]: L.Polkowski, A.Skowron, eds. Rough Sets in Knowledge Discovery, vol.2. Physica-Verlag, Heidelberg, 1998, pp. 581-586.
  • B. Prędki, R. Słowiński, J. Stefanowski, R. Susmaga, Sz. Wilk: ROSE - software implementation of the rough set theory. [In]: L.Polkowski, A.Skowron, eds. Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, vol.1424, Springer-Verlag, Berlin, 1998, pp. 605-608.
  • M. Hapke, A. Jaszkiewicz, R. Słowiński: Rozmyte podejście do wielokryterialnego programowania sieciowego w warunkach niepewności. Zeszyty Naukowe Politechniki Śląskiej, ser. Automatyka (1998) no.123, 155-168.

1997

  • A.Jaszkiewicz, R.Słowiński: Outranking-based interactive exploration of a set of multicriteria alternatives. Journal of Multi-Criteria Decision Analysis 6 (1997) no.2, 93-106.
  • R.Słowiński: Interactive fuzzy multiobjective programming. Leading Paper [in]: J.Climaco, ed. Multicriteria Analysis. Springer-Verlag, Berlin, 1997, pp. 202-212.
  • R.Słowiński, C.Zopounidis, A.I.Dimitras: Prediction of company acquisition in Greece by means of the rough set approach. European Journal of Operational Research 100 (1997) 1-15.
  • R.Słowiński: Fuzzy multi-objective linear programming. Belgian Journal of Operations Research, Statistics and Computer Science 37 (1997) no.1-2, 83-98.
  • A.Jaszkiewicz, R.Słowiński: The LBS-Discrete interactive procedure for multiple-criteria analysis of decision problems. [In]: J.Climaco, ed. Multicriteria Analysis. Springer-Verlag, Berlin, 1997, pp. 320-330.
  • A.Jaszkiewicz, R.Słowiński: Outranking-driven search over a nondominated set. [In]: G.Fandel, T.Gal, eds. Multiple Criteria Decision Making. Lecture Notes in Economics and Mathematical Systems, vol. 448, Springer-Verlag, Berlin, 1997, pp. 340-349.
  • P.Czyżak, R.Słowiński: A concordance-discordance approach to multi-criteria ranking of actions with fuzzy evaluations. [In]: J.Climaco, ed. Multicriteria Analysis. Springer-Verlag, Berlin, 1997, pp. 85-93.

1996

  • P.Czyżak, R.Słowiński: Possibilistic construction of fuzzy outranking relation for multiple-criteria ranking. Fuzzy Sets and Systems 81 (1996) 123-131.
  • R.Słowiński, J.Stefanowski: Rough set reasoning about uncertain data. Fundamenta Informaticae 27 (1996) 229-243.
  • M.Hapke, R.Słowiński: Fuzzy priority heuristics for project scheduling. Fuzzy Sets and Systems 83 (1996) 291-299.
  • R.Słowiński: Rough set theory and its application to decision aid. Belgian Journal of Operations Research, Statistics and Computer Science 35 (1996) no.3-4, 81-90.
  • S.Rubin, W.Michalowski, R.Słowiński: Developing an emergency room diagnostic check list using rough sets - a case study of appendicitis. [In]: J.Anderson, M.Katzper, eds. Simulation in the Medical Sciences, Proc. of the 1996 Western Conference of the Society for Computer Simulation. Simulation Councils, Inc., San Diego, CA, 1996, pp. 19-24.
  • S.Greco, B.Matarazzo, R.Słowiński: Rough approximation of a preference relation by dominance relations. [In]: S.Tsumoto et al., eds. Proc. of the Fourth Internat. Workshop on Rough Sets, Fuzzy Sets and Machine Discovery - RSFD'96. Tokyo, 1996, pp. 125-130.
  • M.Kostkowski, R.Słowiński: UTA+ Application (v. 1.20) - User's Manual. Document du LAMSADE, no. 95, Universite de Paris Dauphine, Paris, 1996.
  • K.Krawiec, R.Słowiński, D.Vanderpooten: Construction of rough classifiers based on application of a similarity relation. In: S.Tsumoto et al., eds. Proc. of the Fourth Internat. Workshop on Rough Sets, Fuzzy Sets and Machine Discovery - RSFD'96. Tokyo, 1996, pp. 23-30.
  • R.Słowiński, J.Stefanowski, R.Susmaga: Rough set analysis of attribute dependencies in technical diagnostics. In: S.Tsumoto et al., eds. Proc. of the Fourth Internat. Workshop on Rough Sets, Fuzzy Sets and Machine Discovery - RSFD'96. Tokyo, 1996, pp. 284-291.
  • R.Mienko, R.Słowiński, J.Stefanowski, R.Susmaga: Rough Family - software implementation of rough set based data analysis and rule discovery techniques. In: S.Tsumoto et al., eds. Proc. of the Fourth Internat. Workshop on Rough Sets, Fuzzy Sets and Machine Discovery - RSFD'96. Tokyo, 1996, pp. 437-440.
  • M.Hapke, P.Kominek, R.Słowiński: Metaheurystyczne procedury rozwiązywania problemu programowania sieciowego w warunkach niepewności. Zeszyty Naukowe Politechniki Śląskiej, ser. Automatyka (1996) no.117 57-68.

1995

  • R.Słowiński: Rough set approach to decision analysis. AI Expert Magazine 10 (1995) no.3, 18-25.
  • J.Jelonek, K.Krawiec, R.Słowiński: Rough set reduction of attributes and their domains for neural networks. Computational Intelligence 11 (1995) no.2, 339-347.
  • Z.Pawlak, J.Grzymala-Busse, R.Słowiński, W.Ziarko: Rough sets. Communications of the ACM 38 (1995) no.11, 89-95.
  • R.Słowiński, D.Vanderpooten: Similarity relation as a basis for rough approximations. [In]: P.P. Wang, ed., Advances in Machine Intelligence & Soft-Computing. Vol.IV, Bookwrights, Raleigh, NC, 1997, pp. 17-33.
  • A.Jaszkiewicz, R.Słowiński: The Light Beam Search - outranking based interactive procedure for multiple-objective mathematical programming. [In]: P.M.Pardalos, Y.Siskos, C.Zopounidis, eds. Advances in Multicriteria Analysis. Kluwer Academic Publishers, Dordrecht, 1995, pp. 129-146.
  • J.Jelonek, K.Krawiec, R.Słowiński, J.Szymas: Rough set reduction of features for picture-based reasoning. [In]: T.Y.Lin, A.Wildberger, eds. Soft Computing: Rough Sets, Fuzzy Logic, Neural Networks, Uncertainty Management, Knowledge Discovery. Simulation Councils, Inc., San Diego, CA, 1995, pp. 89-92.
  • R.Słowiński: Rough set processing of fuzzy information. Invited Lecture [in]: T.Y.Lin, A.Wildberger, eds. Soft Computing: Rough Sets, Fuzzy Logic, Neural Networks, Uncertainty Management, Knowledge Discovery. Simulation Councils, Inc., San Diego, CA, 1995, pp. 142-145.
  • S.Greco, B.Matarazzo, R.Słowiński: Rough set approach to multi-attribute choice and ranking problems. ICS Research Report 38/95 (1995), Institute of Computer Science, Warsaw University of Technology, Warsaw. Also [in]: G.Fandel, T.Gal, eds. Multiple Criteria Decision Making. Lecture Notes in Economics and Mathematical Systems, vol. 448, Springer-Verlag, Berlin, 1997, pp. 318-329.

1994

  • R.Słowiński, C.Zopounidis: Application of the rough set approach to evaluation of bankruptcy risk. International Journal of Intelligent Systems in Accounting, Finance and Management 4 (1995) no.1, 27-41.
  • M.Hapke, A.Jaszkiewicz, R.Słowiński: Fuzzy project scheduling system for software development. Fuzzy Sets and Systems 67 (1994), 101-117.
  • Z.Pawlak, R.Słowiński: Decision analysis using rough sets. International Transactions in Operational Research 1 (1994) no.1, 107-114.
  • Z.Pawlak, R.Słowiński: Rough set approach to multi-attribute decision analysis. Invited Review. European Journal of Operational Research 72 (1994), 443-459.
  • R.Słowiński, B.Soniewicki, J.Węglarz: DSS for multiobjective project scheduling. European Journal of Operational Research 79 (1994), 220-229.
  • A.Jaszkiewicz, R.Słowiński: The 'Light Beam Search' over a non-dominated surface of multiple-objective programming problem. [In]: G.H.Tzeng, H.F.Wang, U.P.Wen, P.L.Yu, eds. Multiple Criteria Decision Making. Expand and Enrich the Domains of Thinking and Application. Springer-Verlag, New York, 1994, pp. 87-99.
  • A.Jaszkiewicz, R.Słowiński, A.Gawalek: The 'Light Beam Search' over a non-dominated set and its application in Polish chemical industry. Central European J. of Operations Research and Economics 3 (1994-95) no.2, 157-169.
  • R.Słowiński, J.Stefanowski: Rough classification with valued closeness relation. [In]: E.Diday, Y.Lechevallier, M.Schrader, P.Bertrand, B.Burtschy, eds. New Approaches in Classification and Data Analysis. Springer-Verlag, Berlin, 1994, pp. 482-489.
  • J.Jelonek, K.Krawiec, R.Słowiński, J.Stefanowski, J.Szymas: Neural networks and rough sets - comparison and combination for classification of histological pictures. [In]: W.P.Ziarko, ed. Rough Sets, Fuzzy Sets and Knowledge Discovery. Workshops in Computing Series. Springer-Verlag, London, 1994, pp. 426-433.
  • R.Słowiński: Rough set analysis of multi-attribute decision problems. Invited Lecture [in]: W.P.Ziarko, ed. Rough Sets, Fuzzy Sets and Knowledge Discovery. Workshops in Computing Series. Springer-Verlag, London, 1994, pp. 136-142.
  • R.Słowiński, J.Stefanowski: Handling various types of uncertainty in the rough set approach. [In]: W.P.Ziarko, ed. Rough Sets, Fuzzy Sets and Knowledge Discovery. Workshops in Computing Series, Springer-Verlag, London, 1994, pp. 366-325.
  • R.Słowiński, C.Zopounidis: Rough-set sorting of firms according to bankruptcy risk. [In]: M.Paruccini, ed. Applying Multicriteria Decision Aid for Environmental Management. Kluwer Academic Publishers, Dordrecht, 1994, pp. 339-357.
  • M.Hapke, R.Słowiński: Time-optimal project scheduling with fuzzy activity parameters. [In]: M.Delgado, J.Kacprzyk, J.-L.Verdegay, M.A.Vila, eds. Fuzzy Optimization. Recent Advances. Physica-Verlag, Heidelberg, 1994, pp. 364-376.
  • M.Hapke, A.Jaszkiewicz, R.Słowiński: Rozmyte programowanie sieciowe w zastosowaniu do zarządzania projektem software'owym. Zeszyty Naukowe Politechniki Śląskiej, ser. Automatyka (1994) no.114, 71-83.

1993

  • B.Roy, R.Słowiński: Criterion of distance between technical programming and socio-economic priority. Recherche Operationnelle/Operations Research 27 (1993) no.1, 45-60.
  • M.Hapke, R.Słowiński: A DSS for resource-constrained project scheduling under uncertainty. Journal of Decision Systems 2 (1993) no.2, 111-128.
  • R.Słowiński: Rough set learning of preferential attitude in multi-criteria decision making. In: J.Komorowski, Z.Ras, eds. Methodologies for Intelligent Systems. Lecture Notes in Artificial Intelligence, vol. 689. Springer-Verlag, Berlin, 1993, pp. 642-651.
  • P.Czyżak, R.Słowiński: A visual interactive method for MOLP problems with fuzzy coefficients. [In]: R.Lowen, M.Roubens, eds. Fuzzy Logic - State of the Art. Kluwer Academic Publishers. Dordrecht, 1993, pp. 321-332.
  • A.Jaszkiewicz, R.Słowiński: Integration and tests of non-linear solvers GRG and DIDAS with a microcomputer implementation of the 'Light Beam Search' over a non-dominated surface. Foundations of Computing and Decision Sciences 18 (1993) no.2, 109-120.
  • A.Jaszkiewicz, R.Słowiński: The 'Light Beam Search' over a non-dominated set - an interactive procedure for multiple-objective analysis of linear and nonlinear programs. Cahier du LAMSADE, no.115, Universite de Paris Dauphine, Paris, 1993.
  • R.Słowiński: Strict and weak indiscernibility of objects described by quantitative attributes with overlapping norms. Foundations of Computing and Decision Sciences 18 (1993) no.3-4, 361-369.

1992

  • B.Roy, R.Słowiński, W.Treichel: Multicriteria programming of water supply systems for countryside. Water Resources Bulletin 28 (1992) no.1, 13-31.
  • R.Nowicki, R.Słowiński, J.Stefanowski: Rough sets analysis of diagnostic capacity of vibroacoustic symptoms. Journal of Computers and Mathematics with Applications 24 (1992) no.7, 109-123.
  • R.Nowicki, R.Słowiński, J.Stefanowski: Evaluation of vibroacoustic diagnostic symptoms by means of the rough set theory. Journal of Computers in Industry 20 (1992), 141-152.
  • A.Jaszkiewicz, R.Słowiński: Cone contraction method with visual interaction for multiple objective nonlinear programming. Journal of Multiple Criteria Decision Analysis 1 (1992), 29-46.
  • R.Słowiński: A generalization of the indiscernibility relation for rough sets analysis of quantitative information. Rivista di Matematica per le Scienze Economiche e Sociali 15 (1992) no.1, 65-78.
  • E.Krusińska, A.Babic, R.Słowiński, J.Stefanowski: Comparison of the rough sets approach and probabilistic data analysis techniques on a common set of medical data. Chapter II-3 [in]: R.Słowiński, ed. Intelligent Decision Support - Handbook of Applications and Advances of the Rough Sets Theory. Kluwer Academic Publishers, Dordrecht, 1992, pp. 251-265.
  • R.Nowicki, R.Słowiński, J.Stefanowski: Analysis of diagnostic symptoms in vibroacoustic diagnostics by means of the rough sets theory. Chapter I-3 [in]: R.Słowiński, ed. Intelligent Decision Support - Handbook of Applications and Advances of the Rough Sets Theory. Kluwer Academic Publishers, Dordrecht, 1992, pp. 33-48.
  • P.Czyżak, R.Słowiński: Wielokryterialna optymalizacja dawki paszowej w warunkach niepewności. [W]: Z.Dowgiałło, red. Niepewność i ryzyko w działalności przedsiębiorstwa rolniczego. PWN, Warszawa, 1992, pp. 230-250.
  • K.Słowiński, R.Słowiński: Sensitivity of rough classification to changes in norms of attributes. Chapter III-3 [in]: R.Słowiński, ed. Intelligent Decision Support - Handbook of Applications and Advances of the Rough Sets Theory. Kluwer Academic Publishers, Dordrecht, 1992, pp. 363-372.
  • R.Słowiński, J.Stefanowski: 'RoughDAS' and 'RoughClass' - software implementations of the rough sets approach. Chapter III-8 [in]: R.Słowiński, ed. Intelligent Decision Support - Handbook of Applications and Advances of the Rough Sets Theory. Kluwer Academic Publishers, Dordrecht, 1992, pp. 445-456.
  • J.Stefanowski, R.Słowiński, R.Nowicki: The rough sets approach to knowledge analysis for classification support in technical diagnostics of mechanical objects. In: F.Belli, F.J.Radermacher, eds. Industrial & Engineering Applications of Artificial Intelligence and Expert Systems. Lecture Notes in Economics and Mathematical Systems, vol. 604, Springer-Verlag, Berlin, 1992, pp. 324-334.

1991

  • P.Czyżak, R.Słowiński: A fuzzy MOLP method with graphical display of fuzziness. Annales Univ. Sci. Budapest., Sect. Comp. 12 (1991), 59-67.
  • E.Krusinska, R.Słowiński, J.Stefanowski: Discriminant versus rough sets approach to vague data analysis. Journal of Applied Stochastic Models and Data Analysis 8 (1992), 43-56.
  • P.Czyżak, R.Słowiński: 'FLIP' - Multiobjective fuzzy linear programming package. Collaborative Paper CP-91-008 , IIASA, Laxenburg, 1991.
  • P.Czyżak, R.Słowiński: Solving multiobjective diet optimization problem under uncertainty. [In]: P.Korhonen, A.Lewandowski, J.Wallenius, eds. Multiple Criteria Decision Support. Lecture Notes in Economics and Mathematical Systems, vol. 356, Springer Verlag, Berlin, 1991, pp. 273-282.
  • P.Czyżak, R.Słowiński: 'FLIP' - Multiobjective fuzzy linear programming software with graphical facilities. [In]: M.Fedrizzi, J.Kacprzyk, M.Roubens, eds. Interactive Fuzzy Optimization and Mathematical Programming. Lecture Notes in Economics and Mathematical Systems, vol. 368, Springer-Verlag, Berlin, 1991, pp. 168-187.
  • R.Słowiński, B.Soniewicki, J.Węglarz: MPS - komputerowy system wspomagania decyzji dla wielokryterialnego rozdzialu zasobow. Archiwum Automatyki i Robotyki 36 (1991) no.1, 3-18.
  • R.Słowiński: Outranking-based interactive procedure for multiple objective programs. [In]: H.E.Bradley, ed. Operational Research'90. Pergamon Press, Oxford, 1991, pp. 749-760.
  • R.Słowiński: Interactive multiobjective optimization based on ordinal regression. [In]: A.Lewandowski, V.Volkovich, eds. Multiobjective Problems of Mathematical Programming. Lecture Notes in Economics and Mathematical Systems, vol. 351, Springer-Verlag, Berlin, 1991, pp. 93-100.

1990

  • J.H.Patterson, F.B.Talbot, R.Słowiński, J.Węglarz: Computational experience with a backtracking algorithm for solving a general class of precedence and resource-constrained scheduling problems. European Journal of Operational Research 49 (1990) no.1, 68-79.
  • K.Słowiński, R.Słowiński: Sensitivity analysis of rough classification. International Journal of Man-Machine Studies 32 (1990), 693-705.
  • R.Słowiński: 'FLIP'- an interactive method for multiobjective linear programming with fuzzy coefficients. Chapter III-3 [in]: R.Słowiński, J.Teghem, eds. Stochastic versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty. Kluwer Academic Publishers, Dordrecht, 1990, pp. 249-262.
  • R.Słowiński, J.Teghem: A comparison study of 'STRANGE' and 'FLIP'. Chapter IV-2 [in]: R.Słowiński, J.Teghem, eds. Stochastic versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty. Kluwer Academic Publishers, Dordrecht, 1990, pp. 365-393.
  • R.Słowiński, J.Węglarz, B.Soniewicki: Algorytmy priorytetowe i algorytmy symulowanej relaksacji dla problemów rozdziału zasobów. Zeszyty Naukowe Politechniki Śląskiej, ser. Automatyka (1990) no.100, 301-309.

(1989 and older)

1989

  • M.Cochand, D.de Werra, R.Słowiński: Preemptive scheduling with staircase and piecewise linear resource availability. Zeitschrift fuer Operations Research 33 (1989), 297-313.
  • R.Słowiński, J.Stefanowski: Rough classification in incomplete information systems. Mathematical and Computer Modelling 12 (1989) no.10/11, 1347-1357.
  • P.Czyżak, R.Słowiński: Multiobjective diet optimization problem under fuzziness. [In]: J.L.Verdegay, M.Delgado, eds. The Interface between Artificial Intelligence and Operations Research in Fuzzy Environment. Verlag TUV Rheinland, Koeln, 1989, pp. 85-103.
  • J.H.Patterson, R.Słowiński, F.B.Talbot, J.Węglarz: An algorithm for a general class of precedence and resource constrained scheduling problems. Chapter I.1 in: R.Słowiński, J.Węglarz, eds. Advances in Project Scheduling. Elsevier, Amsterdam, 1989, pp. 3-28.
  • R.Słowiński: Multiobjective project scheduling under multiple - category resource constraints. Chapter I.7 [in]: R.Słowiński, J.Węglarz, eds. Advances in Project Scheduling. Elsevier, Amsterdam, 1989, pp. 151-167.
  • R.Słowiński: Interactive multiobjective optimization based on outranking and ordinal regression. Foundations of Control Engineering 14 (1989) no.3, 127-134.

1988

  • R.Słowiński, J.Teghem: Fuzzy versus stochastic approaches to multicriteria linear programming under uncertainty. Naval Research Logistics 35 (1988), 673-695. Reprinted in: D.Dubois, H.Prade, R.Yager, eds. Readings in Fuzzy Sets for Intelligent Systems. Morgan Kaufmann Publishers, Inc., San Mateo, CA, 1993, pp. 810-821.
  • M.Boryczka, R.Słowiński: Derivation of optimal decision algorithms from decision tables using rough sets. Bulletin of the Polish Academy of Sciences, Technical Sci. 36 (1988) no.3-4, 251-260.
  • K.Słowiński, R.Słowiński, J.Stefanowski: Rough sets approach to analysis of data from peritoneal lavage in acute pancreatitis. Medical Informatics 13 (1988) no.3, 143-159.
  • R.Słowiński: Production scheduling on parallel machines subject to staircase demands. Internat. J. Engineering Costs and Production Economics 14 (1988), 11-17.
  • R.Słowiński, B.Soniewicki: Algorytm wielokryterialnego rozdziału zasobów w sieciowym planowaniu przedsięwzięć oraz jego implementacja mikrokomputerowa. Zeszyty Naukowe Politechniki Slaskiej, ser. Automatyka (1988) no.94, 303-316.

1987

  • R.Słowiński: An interactive method for multiobjective linear programming with fuzzy parameters and its application to water supply planning. [In]: J.Kacprzyk, S.A.Orlovski, eds. Optimization Models Using Fuzzy Sets and Possibility Theory. D.Reidel, Boston, 1987, pp.396-414.
  • E.Jacquet-Lagreze, R.Meziani, R.Słowiński: MOLP with an interactive assessment of a piecewise linear utility function. European Journal of Operational Research 31 (1987) no.3, 350-357.
  • R.Słowiński, E.Fernandez: Bicriterion design centering using fuzzy sets and differential sensitivity. Belgian Journal of Operations Research, Statistics and Computer Science 27 (1987) no.2, 19-24.

1986

  • R.Słowiński: A multicriteria fuzzy linear programming method for water supply system development planning. Fuzzy Sets and Systems 19 (1986), 217-237.
  • Z.Pawlak, K.Słowiński, R.Słowiński: Rough classification of patients after highly selective vagotomy for duodenal ulcer. International Journal of Man-Machine Studies 24 (1986), 413-433.
  • J.Fibak, Z.Pawlak, K.Słowiński, R.Słowiński: Rough sets based decision algorithm for treatment of duodenal ulcer by HSV. Bulletin of the Polish Academy of Sciences, Biological Sci. 34 (1986) no.10-12, 227-246.
  • R.Słowiński, A.Urbaniak, J.Węglarz: Probabilistic and fuzzy approaches to capacity expansion planning of a water supply system. [In]: L.Valadares Tavares, J.Evaristo da Silva, eds. Systems Analysis Applied to Water and Related Land Resources. Pergamon Press, Oxford, 1986, pp. 93-98.
  • R.Słowiński, J.Teghem: Comparaison des approches floue et stochastique en programmation lineaire multicritere en avenir incertain. Document du LAMSADE, no.35, Universite de Paris Dauphine, Paris, 1986.
  • R.Słowiński, W.Treichel: Multicriteria analysis of regional water supply systems. [In]: H.P.Geering, M.Mansour, eds. Large Scale Systems - Theory and Applications. Pergamon Press, Oxford, 1986, pp. 785-748.

1985

  • R.Słowiński: Metoda konstrukcji addytywnej funkcji uzytecznosci i jej zastosowanie do wielokryterialnego programowania liniowego. Postępy Cybernetyki 8 (1985) no.4, 81-91.
  • R.Słowiński, A.Urbaniak, J.Węglarz: Multicriteria capacity expansion planning of a water supply and wastewater treatment system. International Journal of Modelling & Simulation 5 (1985) no.4, 124-127.
  • R.Słowiński, A.Urbaniak, J.Węglarz: Wybór strategii rozwoju systemu zaopatrzenia w wodę i ochrony wód w warunkach niepewności. Zeszyty Naukowe Politechniki Śląskiej, ser. Automatyka (1985) no.79, 63-74.

1984

  • R.Słowiński: Preemptive scheduling of independent jobs on parallel machines subject to financial constraints. European Journal of Operational Research 15 (1984) no.3, 366-373.
  • R.Słowiński: Przegląd metod wielokryterialnego programowania liniowego - część I. Przegląd Statystyczny 31 (1984) no. 1-2, 47-64.
  • R.Słowiński: Przegląd metod wielokryterialnego programowania liniowego - część II. Przegląd Statystyczny 31 (1984) no. 3-4, 303-318.
  • R.Słowiński, J.Warczyński: Application of the ellipsoid method in an interactive procedure for multicriteria linear programming. Zeitschrift fuer Operations Research 28 (1984), 89-100.

1983

  • R.Słowiński: Modelling and solving multicriteria project scheduling problems. [In]: A.Straszak, ed. Large Scale Systems - Theory and Applications. Pergamon Press, Oxford, 1983, pp. 469-474.
  • R.Słowiński: Modelowanie preferencji w wielokryterialnych problemach decyzyjnych. Zeszyty Naukowe Politechniki Śląskiej, ser. Automatyka (1983) no.67, 95-111.
  • R.Słowiński, A.Urbaniak, J.Węglarz: Bicriterion capacity expansion planning of a water supply system. Methods of Operations Research 46 (1983), 733-744.

1982

  • R.Słowiński, J.Węglarz: Rozdział zasobów różnych kategorii miedzy operacje niepodzielne jako problem wielokryterialnego programowania dyskretnego. Zeszyty Naukowe Politechniki Slaskiej, ser. Automatyka (1982) no.53, 151-165.

1981

  • R.Słowiński: Multiobjective network scheduling with efficient use of renewable and non-renewable resources. European Journal of Operational Research 7 (1981) no.3, 265-273.
  • R.Słowiński: L'ordonnancement des taches preemptives sur les processeurs independants en presence de ressources supplementaires. R.A.I.R.O. Informatique/Computer Science 15 (1981) no.2, 155-166.
  • R.Słowiński: Problemes d'allocation de moyens limites en presence de criteres multiples. Cahier du LAMSADE, no.36, Universite de Paris Dauphine, Paris, 1981.

1980

  • R.Słowiński: Two approaches to problems of resource allocation among project activities - a comparative study. Journal of the Operational Research Society 31 (1980) no.8, 711-723.
  • R.Słowiński: Optymalny rozdział zasobów różnych kategorii miedzy operacje niepodzielne. Zeszyty Naukowe Politechniki Śląskiej, ser. Automatyka (1980) no. 54, 137-144.

1979

  • R.Słowiński: Allocation de ressources limitees parmi des taches executees par un ensemble de machines independantes. In: M.Pelegrin, J.Delmas, eds. Comparison of Automatic Control and Operational Research Techniques Applied to Large Scale Systems Analysis and Control. Pergamon Press, Oxford, 1979, pp. 189-195.
  • R.Słowiński: Cost-minimal preemptive scheduling of independent jobs with release and due dates on open shop under resource constraints. Information Processing Letters 9 (1979) no.5, 233-237.

1978

  • R.Słowiński: Modeles et methodes d'allocation optimale de moyens limites dans le complexe d'operations - orientations nouvelles. Cybernetica 21 (1978) no.2, 125-139.
  • R.Słowiński: A node ordering heuristic for network scheduling under multiple resource constraints. Foundations of Control Engineering 3 (1978), no.1, 19-27.
  • R.Słowiński: Scheduling preemptable tasks on unrelated processors with additional resources to minimize schedule length. [In]: G.Bracchi, P.C.Lockermann, eds. Information Systems Methodology. Lecture Notes in Computer Science, vol. 65, Springer-Verlag, Berlin, 1978, pp. 536-547.
  • R.Słowiński, J.Węglarz: Solving the general project scheduling problem with multiple constrained resources by mathematical programming. [In]: J.Stoer, ed. Optimization Techniques. Lecture Notes in Control and Information Sciences, vol. 7, Springer-Verlag, Berlin, 1978, Part 2, pp. 278-288.

1977

  • R.Słowiński: Optimal and heuristic procedures for project scheduling with multiple constrained resources - a survey. Foundations of Control Engineering 2 (1977) no.1, 33-49.
  • R.Słowiński, J.Węglarz: Problemy sterowania rozdziałem zadań i zasobów - próba syntezy. Archiwum Automatyki i Telemechaniki 22 (1977) no.1, 135-145.
  • R.Słowiński, J.Węglarz: Minimalno-czasowy model sieciowy z różnymi sposobami wykonywania czynności. Przegląd Statystyczny 24 (1977) no.3, 409-416.
  • J.Węglarz, J.Błażewicz, W.Cellary, R.Słowiński: An automatic revised simplex method for constrained resource network scheduling. ACM Transactions on Mathematical Software 3 (1977) no.3, Algorithm 520.

1976

  • R.Słowiński, J.Węglarz: An algorithm for finding time-optimal task allocation in a complex of operations. Systems Science 2 (1976) no.1, 165-174.
  • J.Węglarz, R.Słowiński: Computational aspects of a certain class of time-optimal resource allocation problems in a complex of operations. Foundations of Control Engineering 1 (1976) no.2, 123-133.