Rough sets and gradual decision rules

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2639, Issue , 2003, Pages 156-164

  Greco, Salvatore ^a   Inuiguchi, Masahiro ^b   Słowinski, Roman ^c  

^a UNIVERSITY OF CATANIA   (Italy)

^b OSAKA UNIVERSITY   (Japan)

^c POZNAN UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Credibility; Decision rules; Fuzzy sets; Gradual rules; Rough sets

Indexed keywords

DATA MINING; FUZZY INFERENCE; FUZZY LOGIC; FUZZY SETS; GRANULAR COMPUTING; SEMANTICS; DATABASE SYSTEMS; FUZZY CONTROL; LEARNING SYSTEMS; ROUGH SET THEORY; TREES (MATHEMATICS);

CREDIBILITY; DECISION RULES; FUZZY DECISION RULES; FUZZY IMPLICATIONS; FUZZY LOGICAL CONNECTIVES; FUZZY ROUGH APPROXIMATION; GRADUAL RULES; LOWER AND UPPER APPROXIMATIONS;

ROUGH SET THEORY; TECHNICAL PRESENTATIONS;

FUZZY DECISIONS; GRADUAL RULES;

EID: 8344277991     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-39205-x_20     Document Type: Conference Paper

References (20)

1. Cattaneo, G., Fuzzy extension of rough sets theory, [in] L. Polkowski, A. Skowron (eds.), Rough Sets and Current Trends in Computing, LNAI 1424, Springer, Berlin 1998, pp. 275-282
2. Bouchon-Mounier, B., Yao, J., Linguistic modifiers and gradual membership to a category, International Journal on Intelligent Systems, 7 (1992) 26-36
3. Dubois, D., Prade, H., Gradual inference rules in approximate reasoning, Information Sciences, 61 (1992) 103-122
4. Dubois, D. and Prade, H., Putting rough sets and fuzzy sets together, [in] R. Slowinski (ed.), Intelligent Decision Support: Handbook of Applications and Advances of the Sets Theory, Kluwer, Dordrecht, 1992, pp. 203-232
5. Dubois, D., Prade, H., Yager, R., Information Engineering, J.Wiley, New York, 1997
6. Greco, S., Inuiguchi, M., Slowinski, 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
7. Greco, S., Matarazzo, B., Slowinski R., The use of rough sets and fuzzy sets in MCDM. Chapter 14 [in] T.Gal, T.Stewart, T.Hanne (eds.), Advances in Multiple Criteria Decision Making, Kluwer Academic Publishers, Boston, 1999, pp. 14.1-14.59
8. Greco, S., Matarazzo, B., Slowinski, R., 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
9. Greco, S., Matarazzo, B., Slowinski, R., 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
10. Greco, S., Matarazzo, B., Slowinski, R., Rough sets theory for multicriteria decision analysis. European J. of Operational Research 129 (2001) no.1, 1-47
11. Greco, S., Matarazzo, B., Slowinski R., Multicriteria classification, [in]: W.Kloesgen and J.Zytkow (eds.), Handbook of Data Mining and Knowledge Discovery, Oxford University Press, New York, 2002, chapter 16.1.9, pp. 318-328
12. Inuiguchi, M., Greco, S., Slowinski, R., Tanino, T., Possibility and necessity measure specification using modifiers for decision making under fuzziness, Fuzzy Sets and Systems, 2003 (to appear)
13. Inuiguchi, M., Tanino, T., New Fuzzy Rough Sets Based on Certainty Qualification, [in]:S.K. Pal, L. Polkowski and A. Skowron (eds.): Rough-Neuro-Computing: Techniques for Computing with Words, Springer-Verlag, Berlin, 2002
14. Nakamura, A., Gao, J.M., A logic for fuzzy data analysis, Fuzzy Sets and Systems, 39, 1991, 127-132
15. Pawlak, Z., Rough Sets, Kluwer, Dordrecht, 1991
16. Polkowski, L., Rough Sets: Mathematical Foundations, Physica-Verlag, Heidelberg, 2002
17. Slowinski R., Rough set processing of fuzzy information, [in]: T.Y.Lin, A.Wildberger (eds.), Soft Computing: Rough Sets, Fuzzy Logic, Neural Networks, Uncertainty Management, Knowledge Discovery. Simulation Councils, Inc., San Diego, 1995, 142-145
18. Slowinski, R., Stefanowski, I., Rough set reasoning about uncertain data, Fundamenta Informaticae 27 (1996) 229-243
19. Yao, Y.Y., Combination of rough and fuzzy sets based on a-level sets, [in]: T.Y. Lin and N. Cercone (eds.), Rough Sets and Data Mining: Analysis for Imprecise Data, Kluwer, Boston, 1997, pp. 301-321
20. Zadeh, L.A., A Fuzzy Set-Theoretic Interpretation of Linguistic Hedges, J. Cybernetics, 2 (1972) 4-34