Similarity measure on intuitionistic fuzzy sets

被引：7

作者：

Park, Jean-Ho ^{[1
]}

Hwang, Jai-Hyuk ^{[2
]}

Park, Wook-Je ^{[3
]}

Wei He ^{[4
]}

Lee, Sang-Hyuk ^{[4
]}

机构：

[1] Korea Inst Ind Technol, Adv Convergent Technol R&D Grp, Ansan 426910, South Korea

[2] Korea Aerosp Univ, Sch Aerosp & Mech Engn, Goyang Si 412791, South Korea

[3] Inha Univ, Inst Informat & Elect Res, Inchon 402751, South Korea

[4] Xian Jiaotong Liverpool Univ, Dept Elect & Elect Engn, Suzhou 215123, Peoples R China

来源：

JOURNAL OF CENTRAL SOUTH UNIVERSITY | 2013年 / 20卷 / 08期

关键词：

similarity measure; multi-dimension; discrete data; relative degree; power interconnected system; DISTANCE MEASURE; ENTROPY; DESIGN;

D O I：

10.1007/s11771-013-1729-y

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

Study of fuzzy entropy and similarity measure on intuitionistic fuzzy sets (IFSs) was proposed and analyzed. Unlike fuzzy set, IFSs contain uncertainty named hesitance, which is contained in fuzzy membership function itself. Hence, designing fuzzy entropy is not easy because of many entropy definitions. By considering different fuzzy entropy definitions, fuzzy entropy on IFSs is designed and discussed. Similarity measure was also presented and its usefulness was verified to evaluate degree of similarity.

引用

页码：2233 / 2238

页数：6

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