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On the monotonicity of functional type SIRMs connected fuzzy reasoning method and T-S reasoning method | IEEE Conference Publication | IEEE Xplore

On the monotonicity of functional type SIRMs connected fuzzy reasoning method and T-S reasoning method


Abstract:

Yubazaki et al. have proposed ldquosingle input rule modules connected type fuzzy reasoning methodrdquo (SIRMs method, for short) whose final output is obtained by summar...Show More

Abstract:

Yubazaki et al. have proposed ldquosingle input rule modules connected type fuzzy reasoning 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. Moreover, Seki et al. have proposed ldquofunctional type single input rule modules connected fuzzy reasoning methodrdquo (functional type SIRMs method, for short) whose consequent parts are generalized to functions from real numbers. It is expect that inference results of functional type SIRMs method have monotonicity if the antecedent parts and consequent parts of fuzzy rules in the functional type SIRMs rule modules have monotonicity. However, this paper points out that even if fuzzy rules in functional type 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 functional type SIRMs method, Takagi-Sugeno reasoning method (T-S reasoning method, for short), and simplified fuzzy reasoning method.
Date of Conference: 01-06 June 2008
Date Added to IEEE Xplore: 23 September 2008
ISBN Information:
Print ISSN: 1098-7584
Conference Location: Hong Kong, China

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