International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06)
A Method of the Rule Acquisition Based on Rough Set
Sydney Australia
November 28-December 01
ISBN: 0-7695-2731-0
Ning Wang, Changchun University of Technology
Yan Zhao, Yang-En University, Quanzhou, Fujian, China
Rough sets is a mathematical approach to deal with vague, uncertain and imperfect data and it has many advantages over neural network. The basic concept and operation rule of rough set is presented in this paper. As an example to show the advantages, definitive rules about rectifying column are gotten from original data through Rough Set Theory.
Citation:
Guangshun Yao, Xiujiang Lv, Ning Wang, Yan Zhao, "A Method of the Rule Acquisition Based on Rough Set," cimca, pp.243, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006