DocumentCode :
467748
Title :
A New Method to Measure the Similarity Between Interval-Valued Fuzzy Numbers
Author :
Chen, Jim-Ho ; Chen, Shyi-Ming
Author_Institution :
Nat. Taiwan Univ. of Sci. & Technol., Taipei
Volume :
3
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
1403
Lastpage :
1408
Abstract :
In this paper, we propose a new similarity measure between interval-valued fuzzy numbers. The proposed similarity measure considers the similarity of the gravities on the X-axis between upper fuzzy numbers, the difference of the spreads between upper fuzzy numbers, the heights of the upper fuzzy numbers, the degree of similarity on the X-axis between interval-valued fuzzy numbers, and the gravities on the Y-axis between interval-valued fuzzy numbers. We also prove three properties of the proposed similarity measure between interval-valued fuzzy numbers. We also use some data sets to compare the proposed similarity measure with Chen´s method [1]. The proposed method gets more reasonable results than the method presented in [1] to calculate the degree of similarity between interval-valued fuzzy numbers.
Keywords :
fuzzy set theory; interval-valued fuzzy numbers; similarity measures; upper fuzzy numbers; Computer science; Cybernetics; Fuzzy sets; Gold; Gravity; Information filtering; Machine learning; Interval-valued fuzzy numbers; Lower fuzzy numbers; Similarity measures; Upper fuzzy numbers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370364
Filename :
4370364
Link To Document :
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