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Tanaka, Masahiro Okayama University
Watanabe, Hikaru Okayama University
Furukawa, Yasuyuki Okayama University
Tanino, Tetsuzo Okayama University
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
decision support systems
feedforward neural nets
self-organising feature maps
Digital Object Identifier: 10.1109/ICSMC.1995.537993
Published with permission from the copyright holder. This is the institute's copy, as published in Systems, Man and Cybernetics, 1995. 'Intelligent Systems for the 21st Century'., IEEE International Conference on, 22-25 Oct. 1995, Vol. 2, Pages 1556-1561.
Copyright © 1995 IEEE. All rights reserved.