Linear optimization with an arbitrary fuzzy relational inequality

In this paper, optimization of a linear objective function with fuzzy relational inequality constraints is investigated whereby an arbitrary function is considered as fuzzy composition. The feasible solution set is determined and compared with some common results in the literature. A necessary and s...

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Veröffentlicht in:	Fuzzy sets and systems Jg. 206; S. 89 - 102
Hauptverfasser:	Ghodousian, Amin, Khorram, Esmaile
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2012
Schlagworte:	Algorithms Feasibility Fuzzy Fuzzy compositions and t-norms Fuzzy logic Fuzzy relational inequalities Fuzzy relations Fuzzy set theory Inequalities Linear objective function optimization Lower bounds Optimization Fuzzy relational inequalities Fuzzy relations Fuzzy compositions and t-norms Linear objective function optimization
ISSN:	0165-0114, 1872-6801
Online-Zugang:	Volltext
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