Research on the Novel Weighted Fuzzy Clustering Algorithm based on Fuzzy Sets and Rough Set Theory

DOI

10.2991/iemb-15.2015.2How to use a DOI?

Keywords

Weighted Fuzzy Clustering; Fuzzy Sets; Rough Set; Literature Review.

Abstract

In this paper, we conduct research on the novel weighted fuzzy clustering algorithm based on fuzzy sets and rough set theory. Due to the large scale of data, in order to improve the efficiency of the clustering, we can use the attribute selection and data sampling to reduce the data size. We combine the characteristics of the fuzzy sets and rough set theory to optimize the prior objective function. In the near future, we plan to conduct more related research to polish the method.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chen Liwei
PY  - 2015/09
DA  - 2015/09
TI  - Research on the Novel Weighted Fuzzy Clustering Algorithm based on Fuzzy Sets and Rough Set Theory
BT  - Proceedings of the 2015 Conference on Informatization in Education, Management and Business
PB  - Atlantis Press
SP  - 7
EP  - 11
SN  - 2352-5398
UR  - https://doi.org/10.2991/iemb-15.2015.2
DO  - 10.2991/iemb-15.2015.2
ID  - Liwei2015/09
ER  -