Grey Ontology Model for Expert Knowledge Representation
Authors
Bin Shen, Shuyu Zhao
Corresponding Author
Bin Shen
Available Online April 2016.
- DOI
- 10.2991/icemie-16.2016.41How to use a DOI?
- Keywords
- ontology; grey number; knowledge representation; expert knownledge
- Abstract
In order to improve the knowledge representation of ontology for dealing with grey uncertainty, grey ontology is proposed. Firstly, grey systems theory, probability theory and fuzzy theory are compared. Secondly, interval grey number and its calculation are introduced. At last, the model grey ontology is proposed and the main elements are also analyzed. It shows that grey ontology can overcome the limitation of other ontologies to describe the expert knowledge with grey uncertainty.
- Copyright
- © 2016, 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 - Bin Shen AU - Shuyu Zhao PY - 2016/04 DA - 2016/04 TI - Grey Ontology Model for Expert Knowledge Representation BT - Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering PB - Atlantis Press SP - 165 EP - 168 SN - 2352-5401 UR - https://doi.org/10.2991/icemie-16.2016.41 DO - 10.2991/icemie-16.2016.41 ID - Shen2016/04 ER -