Journal of Japan Society for Fuzzy Theory and Systems
Online ISSN : 2432-9932
Print ISSN : 0915-647X
ISSN-L : 0915-647X
An Interactive Fuzzy Satisficing Method for Multiobjective Integer Programming Problems through Genetic Algorithms
Masatoshi SAKAWAToshihiro SHIBANOKosuke KATO
Author information
JOURNAL FREE ACCESS

1998 Volume 10 Issue 1 Pages 108-116

Details
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.

Content from these authors
© 1998 Japan Society for Fuzzy Theory and Intelligent Informatics
Previous article Next article
feedback
Top