Research on knowledge acquisition method about the IF/THEN rules based on rough set theory * * This project was supported by the National Natural Science Foundation of China (50275113).

被引：3

作者：

School of Mechanical and Electronic Engineering, Xi'an Univ. of Architecture and Technology, Xi'an, 710055, China ^{[1
]}

不详 ^{[2
]}

机构：

[1] School of Mechanical and Electronic Engineering, Xi'an Univ. of Architecture and Technology, Xi'an

[2] Dept. of Computer Science, Xinyang Normal Univ., Xinyang

来源：

J Syst Eng Electron | 2008年 / 3卷 / 628-635期

基金：

中国国家自然科学基金;

关键词：

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

D O I：

10.1016/S1004-4132(08)60131-0

中图分类号：

学科分类号：

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. © 2008 The Second Academy of China Aerospace Science & Industry Cooperation.

引用

页码：628 / 635

页数：7

共 7 条

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[2]

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[3]

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[4]

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[6]

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[7]

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