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

^*Corresponding author for this work

Shanghai Jiao Tong University

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

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.

Original language	English
Pages (from-to)	684-688
Number of pages	5
Journal	Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University
Volume	40
Issue number	4
State	Published - Apr 2006
Externally published	Yes

Keywords

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

Cite this

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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.",

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year = "2006",

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AU - Sun, Hua Li

AU - Xie, Jian Ying

AU - Xue, Yao Feng

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N2 - 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.

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)

UR - https://www.scopus.com/pages/publications/33745642965

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SN - 1006-2467

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SP - 684

EP - 688

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JF - Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University

IS - 4

ER -

Customer satisfaction degree evaluation model based on SVM in logistics

Abstract

Keywords

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