GA-based decision support system for multicriteria optimization

Author

Tanaka, Masahiro ; Watanabe, Hikaru ; Furukawa, Yasuyuki ; Tanino, Tetsuzo

Author_Institution

Dept. of Inf. Technol., Okayama Univ., Japan

Volume

2

fYear

1995

fDate

22-25 Oct 1995

Firstpage

1556

Abstract

Proposes a multicriteria decision making (MCDM) method by using a genetic algorithm (GA). The system consists of three phases. In the first phase, a rough set of Pareto optimal solutions is obtained using Kohonen´s self organizing map (SOM). In the second phase, the decision maker (DM) selects his preferred solutions among the obtained set, where the mechanism of GA is used with the DM´s preference assisted by radial basis function network (RBFN). In the third phase, the DM can explore the solution space further for the final decision

Keywords

decision support systems; decision theory; feedforward neural nets; genetic algorithms; optimisation; self-organising feature maps; GA-based decision support system; Kohonen´s self organizing map; Pareto optimal solutions; final decision; genetic algorithm; multicriteria decision making; multicriteria optimization; radial basis function network; rough set; Decision support systems; Delta modulation; Genetic algorithms; Information technology; Mathematical programming; Organizing; Production; Radial basis function networks; Space exploration;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-2559-1

Type

conf

DOI

10.1109/ICSMC.1995.537993

Filename

537993