A new algorithm of fuzzy multiobjective programming: the compromise factor approach

The purpose of the paper is to present a new concept in and an algorithm for fuzzy multiobjective programming. The new algorithm integrates the fuzzy multiobjective programming methods developed by Hannan (1981) and Sakawa (1983). The paper begins by first discussing conventional fuzzy programming a...

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Bibliographic Details
Published in[1990] Proceedings. First International Symposium on Uncertainty Modeling and Analysis pp. 689 - 693
Main Authors Hsu, G.J.Y., Yu-Ren Tzeng, L.
Format Conference Proceeding
LanguageEnglish
Published IEEE Comput. Soc. Press 1990
Subjects
Decision making
Delta modulation
Functional programming
Linear programming
Mathematical model
Mathematics
Piecewise linear techniques
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Summary:The purpose of the paper is to present a new concept in and an algorithm for fuzzy multiobjective programming. The new algorithm integrates the fuzzy multiobjective programming methods developed by Hannan (1981) and Sakawa (1983). The paper begins by first discussing conventional fuzzy programming and then discusses the justification for incorporating Hannan's methods with Sakawa's. Next, the new algorithm is expressed in its mathematical form, and the 'compromise factor' is introduced and then elaborated on. Finally, a numerical example, with five different membership functions, is presented to demonstrate the new algorithm's application. Suggestions for further research are also given.< >
ISBN:9780818621079
0818621079
DOI:10.1109/ISUMA.1990.151338