Geometric programming problem with single-term exponents subject to max-product fuzzy relational equations

In this paper, an optimization model for minimizing an objective function with single-term exponents subject to fuzzy relational equations specified in max-product composition is presented. The solution set of such a fuzzy relational equation is a non-convex set. First, we present some properties fo...

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Veröffentlicht in:	Mathematical and computer modelling Jg. 53; H. 1; S. 55 - 62
Hauptverfasser:	Zhou, XueGang, Ahat, Rashida
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 2011 Elsevier
Schlagworte:	Calculus of variations and optimal control Convex and discrete geometry equations Exact sciences and technology Fuzzy optimization Fuzzy relational equations Geometric programming Geometry Mathematical analysis Mathematics Max-product composition Methods of scientific computing (including symbolic computation, algebraic computation) Numerical analysis Numerical analysis. Scientific computation Numerical methods in mathematical programming, optimization and calculus of variations Numerical methods in optimization and calculus of variations Sciences and techniques of general use system optimization Fuzzy relational equations Fuzzy optimization Max-product composition Geometric programming Convex set Optimization method Numerical analysis Applied mathematics Optimal solution Variational calculus Mathematical model Computer aided analysis Mathematical programming
ISSN:	0895-7177, 1872-9479
Online-Zugang:	Volltext
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