Systematic mapping study on granular computing

作者：

Highlights：

• This paper discusses on the research on granular computing from 2012 to 2014.

• We defined four perspectives of classification schemes to map the selected studies.

• A total of 112 relevant published articles in established journals have been studied.

• 39% of the relevant articles belong to a rough set framework.

• Fuzzy-GrC algorithm has outperformed other clustering algorithms in experiments.

摘要

•This paper discusses on the research on granular computing from 2012 to 2014.•We defined four perspectives of classification schemes to map the selected studies.•A total of 112 relevant published articles in established journals have been studied.•39% of the relevant articles belong to a rough set framework.•Fuzzy-GrC algorithm has outperformed other clustering algorithms in experiments.

论文关键词：Granular computing,Granular classifier,Clustering algorithm,Systematic mapping,DBSCAN,k-means,c-means

论文评审过程：Received 20 January 2015, Revised 19 February 2015, Accepted 21 February 2015, Available online 3 March 2015.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.02.018