Pareto-optimal solutions in fuzzy multi-objective linear programming

The problem of solving multi-objective linear-programming problems, by assuming that the decision maker has fuzzy goals for each of the objective functions, is addressed. Several methods have been proposed in the literature in order to obtain fuzzy-efficient solutions to fuzzy multi-objective progra...

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Veröffentlicht in:	Fuzzy sets and systems Jg. 160; H. 18; S. 2714 - 2721
Hauptverfasser:	Jiménez, Mariano, Bilbao, Amelia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier B.V 16.09.2009 Elsevier
Schlagworte:	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 mathematical programming Fuzzy-efficient solution Goal programming Information, signal and communications theory Mathematical methods Miscellaneous Multi-objective programming Pareto-optimal solution System theory Telecommunications and information theory Theoretical computing Two-phase method Fuzzy-efficient solution Two-phase method Multi-objective programming Fuzzy mathematical programming Pareto-optimal solution Goal programming Fuzzy system Linear programming Fuzzy set Engineering Optimal solution Information processing Problem solving Fuzzy-eflicient solution Mathematical programming
ISSN:	0165-0114, 1872-6801
Online-Zugang:	Volltext
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