Interval type-2 credibilistic clustering for pattern recognition

作者：

Highlights：

• A new objective function-based fuzzy clustering is introduced using credibility concept.

• A new approach to separation of clusters is presented.

• A new validity index is designed by proposed approach to separation and Choquet integral.

• The obtained results show that proposed model can handle different types of clusters.

摘要

•A new objective function-based fuzzy clustering is introduced using credibility concept.•A new approach to separation of clusters is presented.•A new validity index is designed by proposed approach to separation and Choquet integral.•The obtained results show that proposed model can handle different types of clusters.

论文关键词：Credibilistic clustering,Interval type-2 fuzzy clustering,Fuzzy integral,Validity index,Compactness,Separation

论文评审过程：Received 18 October 2014, Revised 15 March 2015, Accepted 9 April 2015, Available online 18 April 2015, Version of Record 16 July 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.04.010