Improved intuitionistic fuzzy cross-entropy and its application to pattern recognitions

Author

Wei, Peimin ; Ye, Jun

Author_Institution

Yuanpei Coll., Shaoxing Univ., Shaoxing, China

fYear

2010

fDate

15-16 Nov. 2010

Firstpage

114

Lastpage

116

Abstract

In this paper, considered the information carried by the membership, the non-membership and the intuitionistic index in intuitionistic fuzzy sets (IFSs) as probability spaces, a modified cross-entropy measure between two IFSs is proposed to overcome the drawback of the intuitionistic fuzzy cross-entropy measure proposed by Vlachos and Sergiadis and the notion of symmetric discrimination information measure for IFSs is introduced. Finally, numerical examples are presented to demonstrate the efficiency of the proposed discrimination information measure for pattern recognition and medical diagnosis.

Keywords

entropy; formal logic; fuzzy set theory; medical computing; patient diagnosis; pattern recognition; intuitionistic fuzzy cross entropy; intuitionistic index; medical diagnosis; pattern recognition; probability space; symmetric discrimination information; Entropy; Fuzzy sets; Indexes; Medical diagnosis; Pattern recognition; Probability distribution; Q measurement; Discrimination information measure; Intuitionistic fuzzy cross-entropy; Intuitionistic fuzzy set; Medical diagnosis; Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4244-6791-4

Type

conf

DOI

10.1109/ISKE.2010.5680807

Filename

5680807