BENEFITS OF THE INTUITIONISTICFUZZY-C-MEANS FOR CUSTOMER SEGMENTATION

The aim of this paper is to compare a newly introduced fuzzy clustering algorithm with three otherestablished fuzzy-based clustering algorithms. The authors also aim to determine the optimal number ofclusters for each algorithm in a customer segmentation problem based on four parameters. To this end, twoevaluation metrics are computed for each algorithm to identify the most suitable approach for this problem.The dataset and codes used in this study can be found in my GitHub

Keywords:

Fuzzy clustering , Customer segmentation , Validation index , Intuitionistic fuzzy c-means , Type۲ fuzzy c-means