Knowledge approximation and rule acquisition based on VPRS in ordered information systems

Authors:
Shen-Ming Gu;Yue-Ting Zhuang;Xiang-Qing Zhao
Affiliations:
School of Mathematics, Physics and Information Science, Zhejiang Ocean University, Zhoushan, Zhejiang, P. R. China and Institute of Artificial Intelligence, Zhejiang University, Hangzhou, P. R. Ch ...;Institute of Artificial Intelligence, Zhejiang University, Hangzhou, P. R. China;School of Mathematics, Physics and Information Science, Zhejiang Ocean University, Zhoushan, Zhejiang, P. R. China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
Year:
2009

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Abstract

This paper deals with the knowledge approximation and rule acquisition based on variable precision rough sets in ordered information systems. The concepts of upward β-lower approximation, upward β-upper approximation, downward β-lower approximation and downward β-upper approximation based on dominance relation are introduced, and an approach to rule acquisition is also proposed in ordered decision tables with an illustrative example.