New multiobjective fuzzy optimization method and its application

Takanori Kiyota, Yasutaka Tsuji, Eiji Kondo

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This paper proposes a new multiobjective fuzzy optimization method. First, the unsatisfying function, which is more useful and effective as the expression of fuzziness for optimization problems than the membership function, is introduced. The multiobjective optimization problem is transformed into a satisficing problem by using aspiration levels, and the fuzzy satisficing problem is formulated. Then, the interactive design method to minimize the maximum unsatisfaction rating by Genetic Algorithm is proposed. The effectiveness of the proposed method is demonstrated by the design example of an active suspension system. The trade-off graph is used in order to seek a satisficing solution, which reflects the designer's preference, more interactively and graphically.

Original languageEnglish
Pages (from-to)4224-4228
Number of pages5
JournalUnknown Journal
Volume6
Publication statusPublished - 2000

Fingerprint

Active suspension systems
Membership functions
Multiobjective optimization
Genetic algorithms
design method
genetic algorithm
trade-off
method

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

New multiobjective fuzzy optimization method and its application. / Kiyota, Takanori; Tsuji, Yasutaka; Kondo, Eiji.

In: Unknown Journal, Vol. 6, 2000, p. 4224-4228.

Research output: Contribution to journalArticle

Kiyota, Takanori ; Tsuji, Yasutaka ; Kondo, Eiji. / New multiobjective fuzzy optimization method and its application. In: Unknown Journal. 2000 ; Vol. 6. pp. 4224-4228.
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