改进直觉模糊交叉熵及其在模式识别中的应用

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering Pub Date : 2010-11-01 DOI:10.1109/ISKE.2010.5680807

Peimin Wei, Jun Ye

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引用次数: 29

摘要

本文将直觉模糊集(ifs)中的隶属度、非隶属度和直觉指标作为概率空间，针对Vlachos和Sergiadis提出的直觉模糊交叉熵测度的缺点，提出了一种改进的ifs间的交叉熵测度，并引入了ifs对称判别信息测度的概念。最后，通过数值算例验证了该判别信息测度在模式识别和医学诊断中的有效性。

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

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.

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2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering

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