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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Bibliographic Details
Published in:European journal of operational research Vol. 188; no. 2; pp. 530 - 539
Main Authors: Katagiri, Hideki, Sakawa, Masatoshi, Kato, Kosuke, Nishizaki, Ichiro
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 16.07.2008
Elsevier
Elsevier Sequoia S.A
Series:European Journal of Operational Research
Subjects:
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 Access:Get full text
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Description
Summary: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 constructed to obtain a satisficing solution satisfying at least weak Pareto optimality.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2007.02.050