Interactive multiobjective fuzzy random linear programming: Maximization of possibility and probability

This paper considers multiobjective linear programming problems with fuzzy random variables coefficients. A new decision making model is proposed to maximize both possibility and probability, which is based on possibilistic programming and stochastic programming. An interactive algorithm is construc...

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Veröffentlicht in:	European journal of operational research Jg. 188; H. 2; S. 530 - 539
Hauptverfasser:	Katagiri, Hideki, Sakawa, Masatoshi, Kato, Kosuke, Nishizaki, Ichiro
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 16.07.2008 Elsevier Elsevier Sequoia S.A
Schriftenreihe:	European Journal of Operational Research
Schlagworte:	Algorithms Applied sciences Decision making models Decision theory. Utility theory Exact sciences and technology Fuzzy logic Fuzzy random variable Interactive algorithm Linear programming Multiobjective linear programming Operational research and scientific management Operational research. Management science Pareto optimum Possibilistic programming Probability maximization model Random variables Stochastic programming Studies Fuzzy random variable Multiobjective linear programming Probability maximization model Interactive algorithm Possibilistic programming Stochastic programming Probabilistic approach Pareto optimum Decision support system Decision making Multiobjective programming Linear programming Fuzzy programming Modeling Fuzzy logic Weak solution
ISSN:	0377-2217, 1872-6860
Online-Zugang:	Volltext
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