DocumentCode
1752835
Title
Combination Rules of Fuzzy Sets via Random Set Formulation
Author
Zhu, Yunmin ; Zhou, Jie
Author_Institution
Dept. of Math., Sichuan Univ., Chengdu
Volume
1
fYear
0
fDate
0-0 0
Firstpage
3067
Lastpage
3071
Abstract
In this paper, a new angle to establish the combination rules is proposed. Based on the random set formulation of a fuzzy set and the fuzzy set formulation of a random set, various combination rules from stochastic viewpoint can be constructed. Using the concept of independence in probability theory, such combination rules can be derived upon independence and various correlations of the evidence of multiple fuzzy information. Besides, since both fuzzy set and Dempster-Shafer evidence inference can be reformulated to be random sets, applying the method of constructing combination rules via the random set formulation, we can combine multiple fuzzy sets and Dempster-Shafer evidences to be a final fuzzy set or a evidence inference issue
Keywords
combinatorial mathematics; fuzzy set theory; inference mechanisms; probability; random processes; stochastic processes; Dempster-Shafer evidence inference; combination rules; fuzzy sets; probability theory; random set formulation; stochastic viewpoint; Bridges; Fuzzy set theory; Fuzzy sets; Mathematics; Stochastic processes; Uncertainty; Fuzzy sets; combination rules; evidence inferences; random sets;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1712930
Filename
1712930
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