Research on knowledge acquisition method about the IF/THEN rules based on rough set theory  

作　　者：Liu Daohua Yuan Sicong Zhang Xiaolong Wang Fazhan 

机构地区：[1]School of Mechanical & Electronic Engineering, Xi'an Univ. of Architecture & Technology, Xi'an 710055, P. R. China [2]Dept. of Computer Science, Xinyang Normal Univ., Xinyang 464000, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》2008年第3期628-634,F0003,共8页系统工程与电子技术（英文版）

基　　金：the National Natural Science Foundation of China (50275113).

摘　　要：The basic principles of IF/THEN rules in rough set theory are analyzed first, and then the automatic process of knowledge acquisition is given. The numerical data is qualitatively processed by the classification of membership functions and membership degrees to get the normative decision table. The regular method of relations and the reduction algorithm of attributes are studied. The reduced relations are presented by the multi-representvalue method and its algorithm is offered. The whole knowledge acquisition process has high degree of automation and the extracted knowledge is true and reliable.The basic principles of IF/THEN rules in rough set theory are analyzed first, and then the automatic process of knowledge acquisition is given. The numerical data is qualitatively processed by the classification of membership functions and membership degrees to get the normative decision table. The regular method of relations and the reduction algorithm of attributes are studied. The reduced relations are presented by the multi-representvalue method and its algorithm is offered. The whole knowledge acquisition process has high degree of automation and the extracted knowledge is true and reliable.

关 键 词：rough set theory knowledge＇s automatic gain IF/THEN rule attribute reduction multi-dimensionalrepresentative value. 

分 类 号：TP30[自动化与计算机技术—计算机系统结构]