DocumentCode :
2551092
Title :
On the monotonicity of SIRMs connected type fuzzy reasoning method and SIC reasoning method
Author :
Seki, Hirosato ; Ishii, Hiroaki ; Mizumoto, Masaharu
Author_Institution :
Graduate School of Information Science and Technology, Osaka University, 2-1 Yamadaoka, Suita-shi, 565-0871, Japan
fYear :
2007
fDate :
7-10 Oct. 2007
Firstpage :
3973
Lastpage :
3978
Abstract :
Yubazaki et al. have proposed “single input rule modules connected type fuzzy reasoning method” (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. Another type of single input type fuzzy reasoning method proposed by Hayashi et al. (we call it “Single Input Connected fuzzy reasonig method” (SIC method, for short) in this paper) uses rule modules to each input item as well as SIRMs method. We expect that inference results of SIRMs method and SIC method have monotonicity if the antecedent parts and consequent parts of fuzzy rules in SIRMs rule modules have monotonicity. However, this paper points out that even if fuzzy rules in SIRMs rule modules have monotonicity, the inference results do not necessarily have monotonicity. Moreover, it clarifies the conditions for the monotonicity of inference results by SIRMs method and SIC method.
Keywords :
Combustion; Control systems; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Information science; Kilns; Nonlinear control systems; Silicon carbide; Steam engines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, QC, Canada
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
Type :
conf
DOI :
10.1109/ICSMC.2007.4414246
Filename :
4414246
Link To Document :
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