Dominance-based rough set approach to decision involving multiple decision makers

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

Volumn 4259 LNAI, Issue , 2006, Pages 306-317

  Greco, Salvatore ^a   Matarazzo, Benedetto ^a   Słowiński, Roman ^b,c  

^a UNIVERSITY OF CATANIA   (Italy)

^b POZNAN UNIVERSITY OF TECHNOLOGY   (Poland)

^c SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DATA REDUCTION; DECISION MAKING;

DOMINANCE RELATION; DOMINANCE-BASED ROUGH SET APPROACH (DRSA); MULTIPLE DECISION MAKERS;

ROUGH SET THEORY;

EID: 33845262711     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11908029_33     Document Type: Conference Paper

References (8)

1. S. Greco, B. Matarazzo, R. Słowiński (1999): 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, Dordrecht, pp. 14.1-14.59.
2. S. Greco, B. Matarazzo, R. Słowiński (2001), Rough sets theory for multicriteria decision analysis, European Journal of Operational Research, 129, 1, 1-47.
3. S. Greco, B. Matarazzo, R. Słowiński (2005): Decision rule approach, chapter 13 in: J. Figueira, S. Greco, M. Ehrgott (eds.), Multiple Criteria Decision Analysis, State of the art Surveys, Springer-Verlag, pp. 507-561.
4. M. Inuiguchi, T. Miyajima (2006): Rough set based rule induction from two decision tables. European Journal of Operational Research (to appear).
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6. H. Nurmi, J. Kacprzyk, M. Fedrizzi (1996): Probabilistic, fuzzy and rough concepts in social choice. European Journal of Operational Research, 95, 2, 264-277.
7. Z. Pawlak (1990): Rough Sets. Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, Dordrecht.
8. R. Słowiński, S. Greco, B. Matarazzo (2005): 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, pp. 475-527.