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
Link To Document :
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