An Interval-Valued Fuzzy Reasoning Approach Based on Weighted Similarity Measure

Qian Sheng Zhang; Hai Xiang Yao; Zhen Hua Zhang

doi:10.4028/www.scientific.net/AMR.143-144.161

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 143-144An Interval-Valued Fuzzy Reasoning Approach Based...

An Interval-Valued Fuzzy Reasoning Approach Based on Weighted Similarity Measure

Abstract:

This paper presents a new approach for bidirectional interval-valued fuzzy reasoning by employing a weighted similarity measure between the fact and the antecedent portion of production rule, in which the vague terms appearing are represented by interval-valued fuzzy concepts. One numeric example is given to demonstrate the reasonability and flexibility of our proposed approach.

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Periodical:

Advanced Materials Research (Volumes 143-144)

Pages:

161-165

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.143-144.161

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Online since:

October 2010

Authors:

Qian Sheng Zhang, Hai Xiang Yao, Zhen Hua Zhang

Keywords:

Approximate Reasoning, Fuzzy Reasoning Model, Fuzzy Rule, Interval-Valued Fuzzy Set, Weighted Similarity Measure

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