A new similarity measure between vague sets based on information similarity coefficient and its application

被引：0

作者：

Wang Wei ^{[1
]}

Peng Jinye ^{[2
]}

机构：

[1] Northwest Univ, Sch Informat Sci & Technol, Xian 710127, Peoples R China

[2] Northwest Univ, Sch Elect & Informat, Xian 710127, Peoples R China

来源：

FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY III, PTS 1-3 | 2013年 / 401卷

关键词：

information similarity coefficient; vague sets; recommendation;

D O I：

10.4028/www.scientific.net/AMM.401-403.959

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

According to the facts that similar measure between vague set is based on the distance measure mostly, A new similarity measure between vague sets based on information similarity coefficient is presented,which can satisfy the axiom definition of similarity measure between vague sets. Finally,an application in the field of content-based recommendation system of electric commerce is given. The example shows that the methods is practical and effective and can improve the quality and accuracy of the recommendation.

引用

页码：959 / +

页数：2

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