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 

作者机构：Liu Daohua (School of Mechanical & Electronic Engineering Xi''an Univ. of Architecture & Technology Xi''an 710055 P. R. China Dept. of Computer Science Xinyang Normal Univ. Xinyang 464000 P. R. China) Yuan Sicong (School of Mechanical & Electronic Engineering Xi''an Univ. of Architecture & Technology Xi''an 710055 P. R. China) 

出 版 物：《Journal of Systems Engineering and Electronics》 (中国系统工程学和电子学期刊)

年 卷 期：2008年第000卷第3期

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：国家自然科学基金 

主　　题：rough set theory knowledge''s automatic gain IF/THEN rule attribute reduction multi-dimensional representative value 

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-represent-value method and its algorithm is offered. The whole knowledge acquisition process has high degree of automation and the extracted knowledge is true and reliable.