On intuitionistic fuzzy clustering for its application to privacy

被引：10

作者：

Torra, Vicenc ^{[1
]}

Miyamoto, Sadaaki ^{[2
]}

Endo, Yasunori ^{[2
]}

Domingo-Ferrer, Josep ^{[3
]}

机构：

[1] CSIC, Inst Invest Intel Ligencia Artificial, Campus UAB S-N, Bellaterra 08193, Catalonia, Spain

[2] Univ Tsukuba, Sch Syst & Informat Engn, Dept Engn, Tsukuba, Ibaraki 305, Japan

[3] Univ Rovira & Virgili, UNESCO, Dept Comp Engn & Math, E-43007 Tarragona, Spain

来源：

2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2008年

关键词：

D O I：

10.1109/FUZZY.2008.4630498

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Motivated by our research on specific information loss measures (in privacy preserving data mining) and our need to compare fuzzy clusters, we proposed in a recent paper a definition for intuitionistic fuzzy partitions. We showed how to define them in the framework of fuzzy clustering. That is, we introduced a method to define intuitionistic fuzzy partitions from the results of fuzzy clustering. In this paper we further study such intuitionistic fuzzy partitions and we extend our previous results with other types of fuzzy clustering algorithms.

引用

页码：1042 / +

页数：2

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