2001
DOI: 10.1016/s0377-2217(00)00046-1
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Rough approximation of a preference relation by a multi-attribute stochastic dominance for determinist and stochastic evaluation problems

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Cited by 39 publications
(20 citation statements)
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“…To avoid this problem of imprecision, the rules of inconsistency, as proposed by Zaras [51], was used.…”
Section: Pareto Set Ranking By the Rough Set Methods (Rsm)mentioning
confidence: 99%
“…To avoid this problem of imprecision, the rules of inconsistency, as proposed by Zaras [51], was used.…”
Section: Pareto Set Ranking By the Rough Set Methods (Rsm)mentioning
confidence: 99%
“…Nowadays, researchers are proposed approaches using stochastic dominance (SD) rules [19][20][21][22][23][24][25][26][27][28]. Some of these methods are to rank alternatives by using the determined SD relations based on rough set theory [26][27].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore MCDM with stochastic variables (thereafter stochastic MCDM) is a valuable research topic. Some research work on stochastic MCDM problems has been conducted, and one of the hot research topics is the use of stochastic dominance (SD) rules in stochastic MCDM analysis (Martel & Zaras, 1995;Nowak, 2004aNowak, , 2004bNowak, , 2006Nowak, , 2007Nowak et al, 2002;Zaras, 1999Zaras, , 2001Zaras, , 2004Zaras & Martel, 1994;Zawisza & Trzpiot, 2002).…”
Section: Introductionmentioning
confidence: 99%
“…For example, Martel and Zaras (1995) use SD rules to make it possible to combine expected utility models with outranking relation models to obtain a solution to the stochastic MCDM problem. Also, Zaras (1999Zaras ( , 2001Zaras ( , 2004 proposes several approaches based on SD rules and Rough Set theory (Pawlak, 1991) to solve stochastic MCDM problems. Nowak (2004a) employs the concept of thresholds based on SD and distillation procedures in ELECTRE-III method (Roy, 1996) to obtain the ranking of alternatives.…”
Section: Introductionmentioning
confidence: 99%
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