Interactive fuzzy stochastic multi-level 0–1 programming using tabu search and probability maximization

•Cooperative multi-level 0–1 programming problems involving random variable coefficients are considered.•New optimization criterion is constructed using tabu search and probability maximization.•An illustrative numerical example demonstrates the feasibility and efficiency of the proposed method. In...

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Veröffentlicht in:	Expert systems with applications Jg. 41; H. 6; S. 2957 - 2963
Hauptverfasser:	Sakawa, Masatoshi, Matsui, Takeshi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Ltd 01.05.2014 Elsevier
Schlagworte:	0–1 Programming Applied sciences Computer science; control theory; systems Computer systems and distributed systems. User interface Decision making Decision theory. Utility theory Exact sciences and technology Fuzzy Fuzzy logic Fuzzy set theory Interactive Interactive fuzzy programming Mathematical models Mathematical programming Maximization Multi-level programming Operational research and scientific management Operational research. Management science Probability maximization Programming Random variables Software Tabu search Multi-level programming 0–1 Programming Random variables Tabu search Interactive fuzzy programming Probability maximization Interactive programming Probabilistic approach Model following Decision making Updating Fuzzy programming Constrained optimization Stochastic programming Fuzzy logic Zero one programming 0-1 Programming Problem solving Fuzzy decision Objective function Deterministic approach Multilevel system Random variable Judgment
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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