A SUCCESSIVE APPROXIMATION METHOD FOR SOLVING MULTIOBJECTIVE FUZZY OPTIMIZATION PROBLEMS

Authors
ZHANG BX CHUNG BTF LEE ET
Citation
Bx. Zhang et al., A SUCCESSIVE APPROXIMATION METHOD FOR SOLVING MULTIOBJECTIVE FUZZY OPTIMIZATION PROBLEMS, Kybernetes, 26(4-5), 1997, pp. 392
Citations number
17
Categorie Soggetti
Controlo Theory & Cybernetics","Computer Science Cybernetics
Journal title
Kybernetes → ACNP
ISSN journal
0368492X
Volume
26
Issue
4-5
Year of publication
1997
Database
ISI
SICI code
0368-492X(1997)26:4-5<392:ASAMFS>2.0.ZU;2-X
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 techniq ue may also have valuable applications in solving general optimization problems with a piecewise-smoothed objective function.