DocumentCode
3124678
Title
Type-2 fuzzy functional inference method
Author
Seki, Hirosato ; Mizumoto, Masaharu
Author_Institution
Dept. of Technol. Manage., Osaka Inst. of Technol., Osaka, Japan
fYear
2011
fDate
27-30 June 2011
Firstpage
1208
Lastpage
1212
Abstract
This paper proposes a type-2 fuzzy functional inference method which extends fuzzy sets of the antecedent parts to type-2 fuzzy sets. This paper next explains that the type-2 fuzzy functional inference method can be classified to the three models: Model 1 is most common method, and Model 2 is a special case of Model 1. We show that the inference results of both Models 1 and 2 can be easily obtained from the area of fuzzy sets of the consequent parts and center of gravity. Moreover, we state that Model 3 can obtain different results compared with the simplified fuzzy inference method and T-S inference method.
Keywords
fuzzy set theory; inference mechanisms; T-S inference method; type-2 fuzzy functional inference method; type-2 fuzzy sets; Bismuth; Frequency modulation; Fuzzy control; Fuzzy sets; Gravity; Neural networks; T-S inference method; Type-2 fuzzy inference; fuzzy function; fuzzy functional inference method; internval type-2 fuzzy sets;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location
Taipei
ISSN
1098-7584
Print_ISBN
978-1-4244-7315-1
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2011.6007715
Filename
6007715
Link To Document