Knowledge discovery for goods classification based on rough set

被引：0

作者：

Zeng, CH ^{[1
]}

Xu, Y ^{[1
]}

Pei, Z ^{[1
]}

Xie, WC ^{[1
]}

机构：

[1] Xihua Univ, Coll Transportat & Auto Mobile Engn, Chengdu 610039, Peoples R China

来源：

2005 IEEE International Conference on Granular Computing, Vols 1 and 2 | 2005年

关键词：

rough set; ABC classification; rule; stocks;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new method based on rough set theory to classify goods is put forward in this paper. Firstly, we set up a decision table of goods classification; secondly we get some certain rules from this decision table and get a new totally disharmonious decision table by deleting the objects which can be identified by these certain rules; finally, we get the classification rules from the harmonious decision table according to. the principle of minimum risk. By applying these rules, we can classify new goods into its specific class, and decide which method we should employ in the management.

引用

页码：334 / 337

页数：4

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