An iterative goal programming approach for solving fuzzy multiobjective integer linear programming problems

This paper presents an iterative goal programming approach for solving fuzzy multiobjective integer linear programming problems. These problems involve fuzzy parameters in the right-hand side of the constraints. The concept of α-level set of these fuzzy parameters is introduced with the definition o...

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Veröffentlicht in:	Applied mathematics and computation Jg. 170; H. 1; S. 216 - 225
1. Verfasser:	Saad, Omar M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY Elsevier Inc 01.11.2005 Elsevier
Schlagworte:	Algorithmics. Computability. Computer arithmetics Applied sciences Calculus of variations and optimal control Computer science; control theory; systems Exact sciences and technology Fuzzy parameters Goal programming Gomory cuts Mathematical analysis Mathematical programming Mathematics Multiobjective integer linear programming Operational research and scientific management Operational research. Management science Sciences and techniques of general use Theoretical computing Fuzzy parameters Gomory cuts Multiobjective integer linear programming Goal programming Membership function Level set Multiobjective programming Iterative method Linear programming Gomory cut Integer programming Algorithm theory Applied mathematics
ISSN:	0096-3003, 1873-5649
Online-Zugang:	Volltext
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