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
Link To Document :
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