DocumentCode :
1928130
Title :
A New Similarity Measure Between Interval-Valued Trapezoidal Fuzzy Numbers Based on Geometric Distance and the Center-of-Gravity-Points
Author :
Wei, Shih-hua ; Chen, Shyi-Ming
Author_Institution :
Nat. Taiwan Univ. of Sci. & Technol., Taipei
Volume :
3
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
1412
Lastpage :
1417
Abstract :
In this paper, a new similarity measure between interval-valued trapezoidal fuzzy numbers is proposed. It combines the concepts of geometric distance, the perimeter, the height and the center-of-gravity-points of interval-valued fuzzy numbers for calculation the degree of similarity between interval-valued trapezoidal fuzzy numbers. We also prove three properties of the proposed similarity measure. We use five sets of interval-valued trapezoidal fuzzy numbers to compare the calculating results of the proposed method with the existing methods. The proposed method can overcome the drawbacks of the existing methods. It provides a useful way to measure the degree of similarity between interval-valued trapezoidal fuzzy numbers.
Keywords :
fuzzy set theory; geometry; center-of-gravity points; geometric distance; interval-valued trapezoidal fuzzy numbers; similarity measure; Computer science; Cybernetics; Decision making; Fuzzy sets; Fuzzy systems; Gold; Machine learning; Scheduling; Center-of-gravity-points; Geometric distance; Interval-valued trapezoidal fuzzy numbers; Similarity measures;
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.2007.4370366
Filename :
4370366
Link To Document :
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