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Measuring Similarity between Interval-Valued Fuzzy Numbers Using Quadratic-mean operator

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1 Author(s)
Shi-Jay Chen ; Dept. of Inf. Manage., Nat. United Univ., Miao Li

Interval-valued fuzzy numbers are very useful for representing a decision makerpsilas evaluations of parameters or variables associated with real-world problems. This study presents a new similarity measure that is based on the quadratic-mean operator to solve problems that involve the measurement of similarity between interval-valued fuzzy numbers. Some properties of the proposed similarity measure have been demonstrated, and 15 sets of interval-valued fuzzy numbers are adopted to compare the proposed method with existing similarity measures. The results of the comparison indicate that the proposed similarity measure is better than existing methods.

Published in:

Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on  (Volume:2 )

Date of Conference:

21-22 Dec. 2008

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