Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

Research on the Approach of Knowledge Acquisition in Expert Systems based on Rough Sets Theory

Authors
Yehong Han
Corresponding Author
Yehong Han
Available Online June 2015.
DOI
10.2991/icecee-15.2015.235How to use a DOI?
Keywords
Expert Systems; Rough Sets; Knowledge Discovery; Data Mining; Artificial Intelligence
Abstract

The research on expert systems has been a hotspot. In order to resolve the problems about knowledge acquisition in complete and incomplete knowledge representation systems, the algorithm of knowledge acquisition based on rough set theory is proposed. Let the knowledge representation system be a decision table, the useful knowledge can be obtained by simplification of the decision table. The algorithm of computation of condition attributes’ reductions and the algorithm of computation of reduction of decision rule are researched to simplify the decision table. When there are missing values in knowledge representation systems, the missing data should be completed by the algorithm of missing values’ completion firstly. This algorithm of knowledge acquisition based on rough set theory can obtain a minimal set of decision rules which can be used to reason in expert systems. The approach of knowledge acquisition can be used to simplify uncertain and incomplete knowledge representation systems.

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 Electrical, Computer Engineering and Electronics
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
10.2991/icecee-15.2015.235
ISSN
2352-538X
DOI
10.2991/icecee-15.2015.235How 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

TY  - CONF
AU  - Yehong Han
PY  - 2015/06
DA  - 2015/06
TI  - Research on the Approach of Knowledge Acquisition in Expert Systems based on Rough Sets Theory
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 1265
EP  - 1270
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.235
DO  - 10.2991/icecee-15.2015.235
ID  - Han2015/06
ER  -