Intuitionistic fuzzy C-regression by using least squares support vector regression

作者：

Highlights：

• We developed a novel clustering algorithm for solving actual clustering problems.

• The novel clustering algorithm improves conventional fuzzy c-regression model.

• Empirical results indicate that the proposed clustering algorithm has superior performance.

摘要

•We developed a novel clustering algorithm for solving actual clustering problems.•The novel clustering algorithm improves conventional fuzzy c-regression model.•Empirical results indicate that the proposed clustering algorithm has superior performance.

论文关键词：Intuitionistic fuzzy sets,Least squares support vector regression,Sammon mapping,Fuzzy c-regression model

论文评审过程：Received 14 August 2015, Revised 27 July 2016, Available online 28 July 2016, Version of Record 4 August 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.07.040