Interactive fuzzy programming for multiobjective fuzzy random linear programming problems through possibility-based probability maximization

This paper presents interactive fuzzy programming for multiobjective fuzzy random linear programming problems through possibility-based probability maximization. In our proposed approach, it is assumed that the decision maker has fuzzy goals for not only original objective functions but also the cor...

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Veröffentlicht in:	Operational research Jg. 14; H. 1; S. 51 - 69
Hauptverfasser:	Yano, Hitoshi, Sakawa, Masatoshi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2014 Springer Nature B.V
Schlagworte:	Business and Management Computational Intelligence Decision making Farms Fuzzy Fuzzy logic Fuzzy set theory Interactive Linear programming Management Science Mathematical analysis Mathematical models Maximization Operations Research Operations Research/Decision Theory Original Paper Pareto optimum Programming Random variables Simplex method Studies Working hours Fuzzy random variable Fuzzy decision Probability maximization Satisfactory solution Interactive decision making
ISSN:	1109-2858, 1866-1505
Online-Zugang:	Volltext
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