A granular computing approach to inducing rules in incomplete information systems

被引：8

作者：

Yu, Haiyan ^{[1
]}

Wang, Daoping ^{[1
]}

机构：

[1] Beijing Univ Sci & Technol, Sch Econ & Management, Beijing 100083, Peoples R China

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND KNOWLEDGE ENGINEERING (ISKE 2007) | 2007年

关键词：

granular computing; rough set; incomplete information systems;

D O I：

10.2991/iske.2007.202

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Generally, two ways are used to handle null value in incomplete information systems. One is transforming an incomplete system to a complete system. The other is process the incomplete information table based on toleration relation. In this paper we propose a method to process the incomplete information table based on granular computing directly. The incomplete information table is divided into granules only use the known value of instances. The rules generate based on the granules.

引用

页数：1

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