DocumentCode
1661297
Title
Multicriteria expected value models in fuzzy decision systems
Author
Liu, Yian-Kui ; Liu, Baoding
Author_Institution
Dept. of Math. Sci., Tsinghua Univ., Beijing, China
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1428
Lastpage
1431
Abstract
Based upon the upper expected value, lower expected value and expected value operators of a fuzzy variable, this paper first presents three types of multicriteria maximum expected value models. Then a theorem about the connection of Pareto solutions among the maximum expected value models is proved. In addition, the relationship between maximum and minimum expected value models is discussed. At the end of the paper, a numerical example of maximum expected value model is provided to show our modeling ideas
Keywords
decision theory; fuzzy logic; mathematical programming; operations research; Pareto solutions; fuzzy decision systems; fuzzy variable; maximum expected value models; multicriteria expected value models; multicriteria maximum expected value models; Books; Chromium; Fuzzy set theory; Fuzzy systems; National electric code; Possibility theory; Power measurement; Stochastic processes; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7280-8
Type
conf
DOI
10.1109/FUZZ.2002.1006714
Filename
1006714
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