A spectral clustering algorithm based on intuitionistic fuzzy information

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摘要

In this paper, we propose a technique for clustering data with intuitionistic fuzzy information. We first define two new intuitionistic fuzzy similarity measures, and then use it to construct an intuitionistic fuzzy similarity measure matrix, by which we present a spectral algorithm to cluster intuitionistic fuzzy information. At last, two numerical examples are given to illustrate and verify our algorithm.

论文关键词:Intuitionistic fuzzy set,Intuitionistic fuzzy similarity degree,Graph laplacians,Spectral clustering,Algorithm

论文评审过程:Received 9 December 2012, Revised 3 June 2013, Accepted 26 July 2013, Available online 25 August 2013.

论文官网地址:https://doi.org/10.1016/j.knosys.2013.07.020