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

In this paper an interactive satisficing 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 va...

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Veröffentlicht in:Fuzzy sets and systems Jg. 117; H. 1; S. 61 - 79
Hauptverfasser: Mohan, C., Nguyen, H.T.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 2001
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ISSN:0165-0114, 1872-6801
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Abstract In this paper an interactive satisficing 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 fuzzified 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-off fuzzy as well as stochastic objectives and constraints during the interactive process of search for a satisficing solution. The use of the method has been illustrated on some test examples taken from literature.
AbstractList In this paper an interactive satisficing 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 fuzzified 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-off fuzzy as well as stochastic objectives and constraints during the interactive process of search for a satisficing solution. The use of the method has been illustrated on some test examples taken from literature.
Author Nguyen, H.T.
Mohan, C.
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Cites_doi 10.1007/BF03398512
10.1007/978-3-642-45700-5_2
10.1016/0165-0114(91)90093-6
10.1016/0165-0114(89)90017-1
10.1016/S0377-2217(97)00161-6
10.1007/BF00933504
10.1016/0165-0114(94)00364-7
10.1007/978-94-009-2111-5
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Issue 1
Keywords Interactive methods
Decision making
Multicriteria analysis
Fuzzified chance constraints
Fuzzy goals
Multiobjective mixed fuzzy-stochastic programming
Mathematical programming
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Snippet In this paper an interactive satisficing method (named PRELIME) is proposed for solving mixed fuzzy-stochastic multiobjective programming problems. The...
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StartPage 61
SubjectTerms Decision making
Fuzzified chance constraints
Fuzzy goals
Interactive methods
Mathematical programming
Multicriteria analysis
Multiobjective mixed fuzzy-stochastic programming
Title An interactive satisficing method for solving multiobjective mixed fuzzy-stochastic programming problems
URI https://dx.doi.org/10.1016/S0165-0114(98)00269-3
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