By Topic

New multiobjective fuzzy optimization method and its application

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
T. Kiyota ; Dept. of Intelligent Mach. & Syst., Kyushu Univ., Fukuoka, Japan ; Y. Tsuji ; E. Kondo

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 satisfying problem by using aspiration levels, and the fuzzy satisfying 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 satisfying solution, which reflects the designer's preference, more interactively and graphically

Published in:

American Control Conference, 2000. Proceedings of the 2000  (Volume:6 )

Date of Conference: