Rough set approach to decisions under risk

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

Volumn 2005, Issue , 2001, Pages 160-169

  Greco, S ^a   Matarazzo, B ^a   Slowinski, R ^b  

^a UNIVERSITY OF CATANIA   (Italy)

^b POZNAN UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; DECISION MAKING; DECISION SUPPORT SYSTEMS; ROUGH SET THEORY; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

CLASSICAL PROBLEMS; DECISION MAKERS; DECISION RULES; DECISION SUPPORTS; NON-ADDITIVE; ROUGH APPROXIMATIONS; ROUGH SET MODELS; STOCHASTIC DOMINANCE;

PROBABILITY DISTRIBUTIONS;

EID: 84944603058     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45554-X_19     Document Type: Conference Paper

References (6)

1. Allais, M., "The so-called Allais paradox and rational decision under uncertainty", in Expected Utility Hypotheses and the Allias Paradox, edited by M. Allais and 0. Hagen, pp. 437-681, Reidel, 1979.
2. Fishburn, P. C., Nonlinear Preferences and Utility Theory, The John Hopkins University Press, 1988.
3. Greco, S., Matarazzo, B., Slowinski, R., "The use of rough sets and fuzzy sets in MCDM", in Advances in Multiple Criteria Decision Making, edited by T. Gal, T. Hanne and T. Stewart, chapter 14, pp. 14.1-14.59,Kluwer Academic Publishers, 1999.
4. Pawlak, Z., "Rough Sets. Theoretical Aspects of Reasoning about Data", Kluwer Academic Publishers, 1991.
5. Roy, B., " Mkthodologie Multicrit2re dlAide a la Dkcision ", Paris, Economica, 1985.
6. Wakker, P.P., Zank, H., State Dependent Expected Utility for Savage's State Space, Mathematics of Operations Research, 24-1, 1999.