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
Link To Document :
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