Uncertain Concepts in a Formal Context
Authors
J.L. Yang, K.Y. Qin
Corresponding Author
J.L. Yang
Available Online July 2015.
- DOI
- 10.2991/aiie-15.2015.138How to use a DOI?
- Keywords
- formal concept analysis; formal concept; uncertain concept; accuracy degree
- Abstract
Formal concept analysis (FCA) provides a theoretical framework for learning hierarchies of knowledge clusters. This paper is devoted to the study of uncertainty in FCA. We introduce the notions of uncertain concept and its accuracy degree in FCA, and present approaches to characterizing accuracy degree of uncertain concepts from approximation operators and covering rough set points of views.
- 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/).
Cite this article
TY - CONF AU - J.L. Yang AU - K.Y. Qin PY - 2015/07 DA - 2015/07 TI - Uncertain Concepts in a Formal Context BT - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering PB - Atlantis Press SP - 514 EP - 517 SN - 1951-6851 UR - https://doi.org/10.2991/aiie-15.2015.138 DO - 10.2991/aiie-15.2015.138 ID - Yang2015/07 ER -