An interactive algorithm for large scale multiple objective programming problems with fuzzy parameters through TOPSIS approach

In this paper, we extend technique for order preference by similarity ideal solution (TOPSIS) for solving large scale multiple objective programming problems involving fuzzy parameters. These fuzzy parameters are characterized as fuzzy numbers. For such problems, the α-Pareto optimality is introduce...

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Veröffentlicht in:	Applied mathematics and computation Jg. 177; H. 2; S. 515 - 527
Hauptverfasser:	Abo-Sinna, Mahmoud A., Abou-El-Enien, Tarek H.M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY Elsevier Inc 15.06.2006 Elsevier
Schlagworte:	Applied sciences Block angular structure Calculus of variations and optimal control Decision theory. Utility theory Exact sciences and technology Fuzzy parameters Interactive decision making Mathematical analysis Mathematics Multiple objective programming problems Operational research and scientific management Operational research. Management science Optimization. Search problems Sciences and techniques of general use TOPSIS Multiple objective programming problems Fuzzy parameters Block angular structure TOPSIS Interactive decision making Pareto optimum Level set Optimal algorithm Decision making Multiobjective programming Fuzzy programming Preference theory Similarity solution Fuzzy set Applied mathematics Optimal solution Large scale Fuzzy number
ISSN:	0096-3003, 1873-5649
Online-Zugang:	Volltext
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