Customer satisfaction degree evaluation model in logistics using SVM

Huali Sun*, Jianying Xie, Shao Yuan Li, Yaofeng Xue

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Customer satisfaction is important for the development of advanced logistical distribution. The paper presents a novel evaluation model of customer satisfaction degree (CSD) based on support vector machine(SVM). The relations of the suppliers and customers are analyzed, then the evaluation index system and fuzzy quantitative methods are provided firstly. The CSD evaluation system including nine indices and three ranks based on one-against-one mode of SVM is built. Last the simulation experiment is given to support the theoretical result.

Original languageEnglish
Title of host publicationProceedings of the 16th IFAC World Congress, IFAC 2005
PublisherIFAC Secretariat
Pages299-304
Number of pages6
ISBN (Print)008045108X, 9780080451084
DOIs
StatePublished - 2005
Externally publishedYes

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume16
ISSN (Print)1474-6670

Keywords

  • Customer satisfaction degree
  • Evaluating index
  • Logistics distribution
  • Model
  • Support vector machine

Fingerprint

Dive into the research topics of 'Customer satisfaction degree evaluation model in logistics using SVM'. Together they form a unique fingerprint.

Cite this