A granular computing approach to inducing rules in incomplete information systems
Authors
Haiyan Yu1, Daoping Wang
1School of Economics and Management, University of Science and Technology Beijing, Beijing 100083,
Corresponding Author
Haiyan Yu
Available Online October 2007.
- DOI
- 10.2991/iske.2007.202How to use a DOI?
- Keywords
- granular computing; rough set ;incomplete information systems;
- Abstract
Generally, two ways are used to handle null value in incomplete information systems. One is transforming an incomplete system to a complete system. The other is process the incomplete information table based on toleration relation. In this paper we propose a method to process the incomplete information table based on granular computing directly. The incomplete information table is divided into granules only use the known value of instances. The rules generate based on the granules.
- 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 - Haiyan Yu AU - Daoping Wang PY - 2007/10 DA - 2007/10 TI - A granular computing approach to inducing rules in incomplete information systems BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 1185 EP - 1188 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.202 DO - 10.2991/iske.2007.202 ID - Yu2007/10 ER -