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Similarity and nearness of the fuzzy set

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成果类型:
期刊论文、会议论文
作者:
Tong, XJ*;Zhang, SM;Zhou, L;Huang, QM
通讯作者:
Tong, XJ
作者机构:
[Zhang, SM; Tong, XJ; Huang, QM; Zhou, L] Wuhan Polytech Univ, Dept Math & Phys, Wuhan 430074, Peoples R China.
通讯机构:
[Tong, XJ] W
Wuhan Polytech Univ, Dept Math & Phys, Wuhan 430074, Peoples R China.
语种:
英文
关键词:
optimum factor of proportionality;similarity measure;nearness
期刊:
Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9
ISSN:
2160-133X
年:
2005
卷:
5
页码:
2668-2670 Vol. 5
会议名称:
4th International Conference on Machine Learning and Cybernetics
会议时间:
AUG 18-21, 2005
会议地点:
Canton, PEOPLES R CHINA
会议主办单位:
Wuhan Polytech Univ, Dept Math & Phys, Wuhan 430074, Peoples R China.
会议赞助商:
IEEE Systems, Man & Cybernet TCC, Hong Kong Polytechn Univ, Hebei Univ, S China Univ Technol, Chongqing Univ, Sun Yatsen Univ, Harbin Inst Technol, Int Univ Germany
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
0-7803-9091-1
机构署名:
本校为第一且通讯机构
院系归属:
数学与计算机学院
摘要:
Similarity measure of fuzzy sets can boils down to distance nearness and "shape" similarity of two fuzzy sets, and distance nearness of two fuzzy sets can be regarded the question of least value of some function with some norm, and similarity measure can be defined the optimum factor of proportionality. Mutual subsethood theorem proposed by Kosko or Wang is the optimum factor of proportionality with l/sup 1/-norm. We construct some new similarity measure ...

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