Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering

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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/).

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Volume Title
Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
10.2991/aiie-15.2015.138
ISSN
1951-6851
DOI
10.2991/aiie-15.2015.138How to use a DOI?
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

risenwbib
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  -