Research on the Novel Weighted Fuzzy Clustering Algorithm based on Fuzzy Sets and Rough Set Theory
- 10.2991/iemb-15.2015.2How to use a DOI?
- Weighted Fuzzy Clustering; Fuzzy Sets; Rough Set; Literature Review.
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.
- © 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/).
Cite this article
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 -