An interactive fuzzy satisficing method for multiobjective integer programming problems through genetic algorithms

An interactive fuzzy satisficing method for multiobjective integer programming problems through genetic algorithms

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Article ID: iaor1999878
Country: Japan
Volume: 10
Issue: 1
Start Page Number: 108
End Page Number: 116
Publication Date: Feb 1998
Journal: Journal of Japan Society For Fuzzy Theory and Systems
Authors: , ,
Keywords: decision, programming: integer
Abstract:

This paper deals with multiobjective integer programming problems by considering fuzzy goals of the decision maker for objective functions. After determining the fuzzy goals of the decision maker, if the decision maker specifies the reference membership values, the corresponding Pareto optimal solution can be obtained by solving the augmented minimax problem which becomes an integer programming problem. For solving the problem, decoding algorithms for 0–1 programming problems are revised and ringed double strings are also introduced. Then an interactive fuzzy satisficing method is presented together with an illustrative numerical example.

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