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On the monotonicity of SIRMs connected type fuzzy reasoning method and SIC reasoning method | IEEE Conference Publication | IEEE Xplore

On the monotonicity of SIRMs connected type fuzzy reasoning method and SIC reasoning method


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 th...Show More

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.
Date of Conference: 07-10 October 2007
Date Added to IEEE Xplore: 02 January 2008
ISBN Information:
Print ISSN: 1062-922X
Conference Location: Montreal, QC, Canada

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