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An interactive satisficing method for solving multiobjective mixed fuzzy-stochastic programming problems

✍ Scribed by C. Mohan; H.T. Nguyen

Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
173 KB
Volume
117
Category
Article
ISSN
0165-0114

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✦ Synopsis

In this paper an interactive satisΓΏcing method (named PRELIME) is proposed for solving mixed fuzzy-stochastic multiobjective programming problems. The proposed method can be used to solve linear as well as a class of nonlinear multiobjective problems in mixed fuzzy-stochastic environment wherein various kinds of uncertainties related to fuzziness and=or randomness are present. In this method a fuzzifying approach has been proposed which treats the stochastic objectives on the basis of extended E-model and the stochastic constraints as fuzziΓΏed chance constraints. As a result of this the stochastic objectives as well as the stochastic constraints are treated in a fuzzy environment providing an opportunity to the decision maker (DM) to trade-o fuzzy as well as stochastic objectives and constraints during the interactive process of search for a satisΓΏcing solution. The use of the method has been illustrated on some test examples taken from literature.

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