Stackelberg solutions for fuzzy random two-level linear programming through probability maximization with possibility

This paper considers Stackelberg solutions for decision making problems in hierarchical organizations under fuzzy random environments. Taking into account vagueness of judgments of decision makers, fuzzy goals are introduced into the formulated fuzzy random two-level linear programming problems. On...

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Bibliographic Details
Published in:	Fuzzy sets and systems Vol. 188; no. 1; pp. 45 - 57
Main Authors:	Sakawa, Masatoshi, Katagiri, Hideki, Matsui, Takeshi
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier B.V 01.02.2012 Elsevier
Subjects:	Applied sciences Circuit properties Computer science; control theory; systems Decision making Digital circuits Electric, optical and optoelectronic circuits Electronic circuits Electronics Exact sciences and technology Fuzzy Fuzzy logic Fuzzy random variable Fuzzy set theory Information, signal and communications theory Linear programming Mathematical methods Mathematical models Maximization Miscellaneous Necessity Possibility Probability maximization Programming Stackelberg solutions Telecommunications and information theory Theoretical computing Two-level linear programming Two-level linear programming Necessity Fuzzy random variable Possibility Probability maximization Stackelberg solutions Fuzzy system Decision making Linear programming Probability distribution Fuzzy set Stochastic programming Information processing Random variable Two-level linear programming: Fuzzy random variable
ISSN:	0165-0114, 1872-6801
Online Access:	Get full text
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