Title :
Type-2 fuzzy functional inference method
Author :
Seki, Hirosato ; Mizumoto, Masaharu
Author_Institution :
Dept. of Technol. Manage., Osaka Inst. of Technol., Osaka, Japan
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;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007715