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

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 143-144)

Edited by:

H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong

Pages:

161-165

DOI:

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

Citation:

Q. S. Zhang et al., "An Interval-Valued Fuzzy Reasoning Approach Based on Weighted Similarity Measure", Advanced Materials Research, Vols. 143-144, pp. 161-165, 2011

Online since:

October 2010

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Price:

$35.00

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