노옴 방법에 의해 정의된 소속함수를 사용한 퍼지계의 다목적 최적설계 Multi-objective Optimization of Fuzzy System Using Membership Functions Defined by Normed Method

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In this paper, a convenient scheme for solving multi-objective optimization problems including fuzzy information in both objective functions and constraints is presented. At first, a multiobjective problem is converted into single objective problem based on the norm method, and a merbership function is constructed by selecting its type and providing the parameters defined by the norm method. Finally, this fuzzy programming problem is converted into an ordinary optimization problem which can be solved by usual nonlinear programming techniques. With this scheme, a designer can conveniently obtain pareto optimal solutions of a fuzzy system only by providing some parameters corresponding to the importance of the objectiv functions. Proposed scheme is simple and efficient in treating multi-objective fuzzy systems compared with and method by with membership function value is provided interactively. To show the validity of the scheme, a simple 3-bar truss example and optimal cutting problem are solved, and the results show that the scheme is very useful and easy to treat multi-objective fuzzy systems.
Publisher
대한기계학회
Issue Date
1993-01
Language
Korean
Citation

대한기계학회 논문집A, v.17, no.8, pp.1898 - 1909

ISSN
1226-4873
URI
http://hdl.handle.net/10203/66196
Appears in Collection
ME-Journal Papers(저널논문)
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