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An interactive fuzzy satisficing method for multiobjective nonconvex programming problems through floating point genetic algorithms

✍ Scribed by Masatoshi Sakawa; Katsuhiro Yauchi

Book ID
108445442
Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
240 KB
Volume
117
Category
Article
ISSN
0377-2217

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An interactive fuzzy satisficing method
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✍ Masatoshi Sakawa; Katsuhiro Yauchi πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 153 KB πŸ‘ 1 views

This article focuses on the multiobjective nonconvex nonlinear programming problem. The following interactive fuzzy satisficing method is proposed using the floatingpoint genetic algorithm. The fuzzy goal of the decisionmaker for each objective function is specified by the membership function. The P

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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 var