Interactive decision making for fuzzy multiobjective 0-1 programs through genetic algorithms with double strings

Author

Shibano, Toshihiro ; Sakawa, Masatoshi

Author_Institution

Div. of Syst. Products, Shinryo Corp., Yokohama, Japan

Volume

3

fYear

1997

fDate

1-5 Jul 1997

Firstpage

1639

Abstract

Multiobjective 0-1 programming problems involving fuzzy numbers are formulated for reflecting the experts´ vague or fuzzy understanding of the nature of the parameters in the problem-formulation process. Using the level sets of fuzzy numbers, the corresponding nonfuzzy programming problems together with an extended Pareto optimality concept are introduced. For deriving a satisficing solution for the decision-maker from an extended Pareto optimal solution set, an interactive decision-making method is presented along with an illustrative numerical example

Keywords

decision theory; fuzzy set theory; genetic algorithms; mathematical programming; double strings; extended Pareto optimal solution set; fuzzy multiobjective 0-1 programs; fuzzy numbers; genetic algorithms; interactive decision-making; level sets; multiobjective 0-1 programming; nonfuzzy programming problems; Decision making; Delta modulation; Functional programming; Fuzzy sets; Fuzzy systems; Genetic algorithms; Genetic engineering; Level set; Tin;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on

Conference_Location

Barcelona

Print_ISBN

0-7803-3796-4

Type

conf

DOI

10.1109/FUZZY.1997.619786

Filename

619786