An Algorithm for Fuzzy Concept Lattices Building with Application to Social Navigation
Authors
Chunzhi Xie1, Liangzhong Yi, Yajun Du
1School of Mathematics & Computer Engineering, Xihua University, Chengdu 610039, China
Corresponding Author
Chunzhi Xie
Available Online October 2007.
- DOI
- 10.2991/iske.2007.203How to use a DOI?
- Keywords
- Fuzzy concept lattices, Fuzzy formal context, Social navigation
- Abstract
Due to the fuzziness of information, fuzzy concept lattices (FCL) are proposed as effective tools for data analysis and knowledge discovery on the fuzzy formal context. But the mining of large database needs efficient algorithms for FCL building. In this paper, a fast and automatic algorithm for FCL building is proposed, called FCLB algorithm, for generating fuzzy concepts from a given fuzzy formal context and a set of fuzzy sets, automatically building a fuzzy concept lattice and representing it graphically. This work has been applied successfully to the social navigation system which aimed to aid users in finding information more effectively.
- Copyright
- © 2007, 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 - Chunzhi Xie AU - Liangzhong Yi AU - Yajun Du PY - 2007/10 DA - 2007/10 TI - An Algorithm for Fuzzy Concept Lattices Building with Application to Social Navigation BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 1189 EP - 1194 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.203 DO - 10.2991/iske.2007.203 ID - Xie2007/10 ER -