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A successive approximation method for solving multi‐objective fuzzy optimization problems

A successive approximation method for solving multi‐objective fuzzy optimization problems An efficient method utilizing a “max‐pro” optimum scheme for solving the “max‐min” decision function in a fuzzy optimization environment. The proposed method significantly simplifies the “max‐min” optimum solving problem, especially in the case when the number of objectives and constraints is large. Presents illustrative examples. The technique may also have valuable applications in solving general optimization problems with a piecewise‐smoothed objective function. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Kybernetes Emerald Publishing

A successive approximation method for solving multi‐objective fuzzy optimization problems

Kybernetes , Volume 26 (4): 15 – Jun 1, 1997

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Publisher
Emerald Publishing
Copyright
Copyright © 1997 MCB UP Ltd. All rights reserved.
ISSN
0368-492X
DOI
10.1108/03684929710176412
Publisher site
See Article on Publisher Site

Abstract

An efficient method utilizing a “max‐pro” optimum scheme for solving the “max‐min” decision function in a fuzzy optimization environment. The proposed method significantly simplifies the “max‐min” optimum solving problem, especially in the case when the number of objectives and constraints is large. Presents illustrative examples. The technique may also have valuable applications in solving general optimization problems with a piecewise‐smoothed objective function.

Journal

KybernetesEmerald Publishing

Published: Jun 1, 1997

Keywords: Fuzzy sets; Optimization

References

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