Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

A new extracting rule algorithm from incomplete information system by covering rough sets

Authors
Dai Dai1, Jianpeng Wang
1Dept. of Economic Mathematics, South Western University of Finance and Economics
Corresponding Author
Dai Dai
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.94How to use a DOI?
Keywords
Covering, Rough sets, Incomplete information system, Rules
Abstract

In this paper, a new extracting rule algorithm from incomplete information system is proposed. First, we produce a covering on a domain according to attribute value of the objects, and then reduces are made on this covering. Second, we utilize rough sets model based on covering to estimate unknown value, so that an incomplete information system is transformed to a complete information system, and thus rules can be extracted.

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/).

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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.94How to use a DOI?
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  - Dai Dai
AU  - Jianpeng Wang
PY  - 2007/10
DA  - 2007/10
TI  - A new extracting rule algorithm from incomplete information system by covering rough sets
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 553
EP  - 556
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.94
DO  - https://doi.org/10.2991/iske.2007.94
ID  - Dai2007/10
ER  -