DocumentCode
424172
Title
Multicriteria optimization problems in fuzzy random decision systems
Author
Liu, Yan-Kui ; Chen, Yan-ju
Author_Institution
Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China
Volume
4
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
2053
Abstract
This paper first presents multicriteria fuzzy random expected value models via expected value operators, and variance of fuzzy random variables. Then, three types of minimization (maximization) fuzzy random expected value models are built based on a decision-maker´s preference or intention. After that, the interconnections among the three types of optimization problems are discussed. At the end of the paper, a numerical example is provided to illustrate the modeling ideas of the proposed optimization problems.
Keywords
fuzzy set theory; fuzzy systems; optimisation; expected value operators; fuzzy random decision systems; fuzzy random variables; multicriteria fuzzy random expected value models; multicriteria optimization problems; Computer science; Educational institutions; Fuzzy systems; Linear programming; Mathematical model; Mathematics; Operations research; Possibility theory; Random variables; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1382133
Filename
1382133
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