东华大学学报（英文版）2007，Vol.24Issue(4)：519-522,528,5.
A Support Vector Machine-based Evaluation Model of Customer Satisfaction Degree in Logistics
A Support Vector Machine-based Evaluation Model of Customer Satisfaction Degree in Logistics
SUN Hua-li 1XIE Jian-ying2
作者信息
- 1. Collegeof International Business &Management, Shanghai University, Shanghai 201800, China
- 2. Department of Automation, Shanghai Jiaotong University, Shanghai 200030, China
- 折叠
摘要
Abstract
This paper pressnts 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 rinsed on one-against-one mode of SVM is built. Last simulation experiment is presented to illustrate the theoretical results.关键词
Logistics/Evaluation model/Fuzzy membershipfunction/Pairwise comparison/Support vector machine/Customer satisfaction degreeKey words
Logistics/Evaluation model/Fuzzy membershipfunction/Pairwise comparison/Support vector machine/Customer satisfaction degree分类
管理科学引用本文复制引用
SUN Hua-li,XIE Jian-ying..A Support Vector Machine-based Evaluation Model of Customer Satisfaction Degree in Logistics[J].东华大学学报（英文版）,2007,24(4):519-522,528,5.
