DocumentCode :
1863107
Title :
On the infimum and supremum of simplified fuzzy inference method
Author :
Seki, Hirosato ; Ishii, Hiroaki
Author_Institution :
Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
137
Lastpage :
141
Abstract :
Fuzzy inference has played significant role in many applications. Although simplified fuzzy inference method is currently mostly used, the problem is that the number of fuzzy rules becomes very huge and so the setup and adjustment of fuzzy rules become difficult. On the other hand, Yubazaki et al. have proposed ldquosingle input rule modules connected fuzzy inference methodrdquo (SIRMs method, for short) whose final output is obtained by summarizing the product of the importance degrees and the inference results from single input fuzzy rule module. Seki et al. have shown that simplified fuzzy inference method and SIRMs method are equal when the sum of diagonal elements in rules of simplified fuzzy inference method is equal to that of cross diagonal elements. However, the conditions of infimum and supremum between simplified fuzzy inference method and SIRMs method are not clarified. This paper clarifies the conditions for infimum and supremum of simplified fuzzy inference method using SIRMs method.
Keywords :
fuzzy reasoning; fuzzy set theory; SIRM method; cross diagonal element; fuzzy inference method; fuzzy rule module; fuzzy set; infimum method; single input rule module method; supremum method; Computer applications; Computer industry; Control systems; Fuzzy control; Fuzzy sets; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Silicon carbide; Steam engines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing in Industrial Applications, 2008. SMCia '08. IEEE Conference on
Conference_Location :
Muroran
Print_ISBN :
978-1-4244-3782-5
Electronic_ISBN :
978-4-9904-2590-6
Type :
conf
DOI :
10.1109/SMCIA.2008.5045949
Filename :
5045949
Link To Document :
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