Computing efficient solutions to fuzzy multiple objective linear programming problems

In this paper, we improve the fuzzy compromise approach of Guu and Wu by automatically computing proper membership thresholds instead of choosing them. Indeed, in practice, choosing membership thresholds arbitrarily may result in an infeasible optimization problem. Although we can adjust minimum sat...

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Bibliographic Details
Published in:	Fuzzy sets and systems Vol. 157; no. 10; pp. 1328 - 1332
Main Authors:	Li, Xue-quan, Zhang, Bo, Li, Hui
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 16.05.2006 Elsevier
Subjects:	Applied sciences Circuit properties Computer science; control theory; systems Control theory. Systems Digital circuits Electric, optical and optoelectronic circuits Electronic circuits Electronics Exact sciences and technology Fuzzy compromise approach Fuzzy multiple objective linear programming Information, signal and communications theory Mathematical methods Max–min operator approach Miscellaneous System theory Telecommunications and information theory Theoretical computing Two-phase approach Fuzzy compromise approach Fuzzy multiple objective linear programming Max–min operator approach Two-phase approach Engineering Fuzzy system Optimization method Information processing Max-min operator approach Linear programming Fuzzy set
ISSN:	0165-0114, 1872-6801
Online Access:	Get full text
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