Title :
A Method of the Rule Acquisition Based on Rough Set
Author :
Yao, Guangshun ; Lv, Xiujiang ; Wang, Ning ; Zhao, Yan
Author_Institution :
Dept. of Electron. & Electr. Eng., Changchun Univ. of Technol., Changchun
fDate :
Nov. 28 2006-Dec. 1 2006
Abstract :
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.
Keywords :
rough set theory; neural network; rough set theory; rule acquisition method; Computational intelligence; Computer networks; Electrical equipment industry; Industrial control; Information systems; Knowledge representation; Neural networks; Process control; Rough sets; Set theory;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7695-2731-0
DOI :
10.1109/CIMCA.2006.13
