A new approximate algorithm for solving multiple objective linear programming problems with fuzzy parameters

Many business decision problems involve multiple objectives and can thus be described by multiple objective linear programming (MOLP) models. When a MOLP problem is being formulated, the parameters of objective functions and constraints are normally assigned by experts. In most real situations, the...

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Veröffentlicht in:	Applied mathematics and computation Jg. 174; H. 1; S. 524 - 544
Hauptverfasser:	Wu, Fengjie, Lu, Jie, Zhang, Guangquan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY Elsevier Inc 01.03.2006 Elsevier
Schlagworte:	Approximate algorithm Calculus of variations and optimal control Decision support technology Exact sciences and technology Fuzzy multiple objective linear programming Mathematical analysis Mathematics Numerical analysis Numerical analysis. Scientific computation Numerical methods in mathematical programming, optimization and calculus of variations Optimization Sciences and techniques of general use Fuzzy multiple objective linear programming Approximate algorithm Decision support technology Optimization Membership function Optimization method Multiobjective programming Linear programming Fuzzy programming Multiple decision Fuzzy algorithm Applied mathematics Decision aid Algorithm analysis Mathematical programming
ISSN:	0096-3003, 1873-5649
Online-Zugang:	Volltext
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