Customer satisfaction degree evaluation model based on SVM in logistics

Hua Li Sun; Jian Ying Xie; Yao Feng Xue

Customer satisfaction degree evaluation model based on SVM in logistics

Hua Li Sun^*
, Jian Ying Xie
, Yao Feng Xue

^*此作品的通讯作者

Shanghai Jiao Tong University

科研成果: 期刊稿件 › 文章 › 同行评审

7 引用（Scopus）

摘要

A novel evaluation method of customer satisfaction degree (CSD) in logistics based on support vector machine (SVM) was presented. The rules of designing key indexes were discussed and the evaluation index system was given. Fuzzy membership function and pairwise comparison were used to quantify the indices. Then the CSD evaluation system based on one-against-one mode of SVM was built. Lastly, simulation was given to support the theoretical result.

源语言	英语
页（从-至）	684-688
页数	5
期刊	Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University
卷	40
期	4
出版状态	已出版 - 4月 2006
已对外发布	是

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链接到 Scopus 的出版物

引用此

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title = "Customer satisfaction degree evaluation model based on SVM in logistics",

abstract = "A novel evaluation method of customer satisfaction degree (CSD) in logistics based on support vector machine (SVM) was presented. The rules of designing key indexes were discussed and the evaluation index system was given. Fuzzy membership function and pairwise comparison were used to quantify the indices. Then the CSD evaluation system based on one-against-one mode of SVM was built. Lastly, simulation was given to support the theoretical result.",

keywords = "Customer satisfaction degree (CSD), Evaluation model, Fuzzy membership function, Logistics, Pairwise comparison, Support vector machine (SVM)",

author = "Sun, \{Hua Li\} and Xie, \{Jian Ying\} and Xue, \{Yao Feng\}",

year = "2006",

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AU - Xue, Yao Feng

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AB - A novel evaluation method of customer satisfaction degree (CSD) in logistics based on support vector machine (SVM) was presented. The rules of designing key indexes were discussed and the evaluation index system was given. Fuzzy membership function and pairwise comparison were used to quantify the indices. Then the CSD evaluation system based on one-against-one mode of SVM was built. Lastly, simulation was given to support the theoretical result.

KW - Customer satisfaction degree (CSD)

KW - Evaluation model

KW - Fuzzy membership function

KW - Logistics

KW - Pairwise comparison

KW - Support vector machine (SVM)

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Customer satisfaction degree evaluation model based on SVM in logistics

摘要

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