A Support Vector Machine-based Evaluation Model of Customer Satisfaction Degree in Logistics

被引：0

作者：

孙华丽 ^{[1
]}

谢剑英 ^{[2
]}

机构：

[1] College of International Business &Management , Shanghai University

[2] Depart ment of Automation , Shanghai Jiaotong University

来源：

JournalofDonghuaUniversity(EnglishEdition) | 2007年 / 04期

关键词：

Logistics; Evaluation model; Fuzzy membership function; Pairwise comparison; Support vector machine; Customer satisfaction degree;

D O I：

10.19884/j.1672-5220.2007.04.016

中图分类号：

F274 [企业供销管理];

学科分类号：

1201 ;

摘要：

This paper presents a novel evaluation model of the customer satisfaction degree (CSD) in logistics based on support vector machine (SVM). Firstly, the relation between the suppliers and the customers is analyzed. Secondly, the evaluation index system and fuzzy quantitative methods are provided. Thirdly, the CSD evaluation system including eight indexes and three ranks based on one-against-one mode of SVM is built. Last simulation experiment is presented to illustrate the theoretical results.

引用

页码：519 / 522 +528

页数：5