Research on Risk Index Reduction in Chain Retail Enterprises

被引：0

作者：

Cui, Meiluan ^{[1
]}

Zhang, Huiyan ^{[1
]}

Xue, Hong ^{[1
]}

机构：

[1] Beijing Technol & Business Univ, Coll Comp & Informat Engn, Beijing 100048, Peoples R China

来源：

ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING, PTS 1-3 | 2013年 / 278-280卷

关键词：

Rough Set; Distribution Risk; Discretization; Information Entropy;

D O I：

10.4028/www.scientific.net/AMM.278-280.2183

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A risk index reduction model based on rough set theory is put forward, because of the risk index of distribution of supply chain in retail enterprises is large and much redundant, and it is difficult to determine the decision rules through the complex index. Naive Scaler algorithm is used to discrete the risk index data, then an algorithm of attribute reduction based on mutual information entropy is used in decision table to reduce index and build risk index system optimal model. The results of example show that this system can reduce the redundancy index of risk index system fast and efficient and provide the basis for making the risk decision.

引用

页码：2183 / 2186

页数：4

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