Fuzzy clustering of intuitionistic fuzzy data

Authors:
Bohdan S. Butkiewicz
Affiliations:
Warsaw University of Technology, Warsaw, Poland
Venue:
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Year:
2012

Citing 5
Cited 0

Fuzzy clustering of intuitionistic fuzzy data

International Journal of Business Intelligence and Data Mining
Clustering algorithm for intuitionistic fuzzy sets

Information Sciences: an International Journal
Intuitionistic Fuzzy Clustering with Applications in Computer Vision

ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Robust fuzzy clustering with fuzzy data

AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Fuzzy order statistics and their application to fuzzy clustering

IEEE Transactions on Fuzzy Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the paper a new method of fuzzy clustering basing on fuzzy features is presented. Objects are described by set of features with intutionistic fuzzy values. Generally, the method uses the concept of modified fuzzy c-means procedure applied to intuitionistic fuzzy data which describes the features. New distance measure between data and cluster centers is suggested. Some examples of clustering results are presented. The method is efficient and very fast.