Dynamic partner selection in supply chain based on multiple classifier fusion

Meng Xing Huang, Quan Pan, Jian Yu Shi, Hong Cai Zhang

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Attributes of each candidate enterprise could be regarded as a classifier, and the partner selection could be transformed into a classification issue with incomplete and uncertain information. A decision-making model and a numerical approach of partner selection were proposed based on multiple classifier fusion rules. The new method could not only effectively resolve decision-making problem with incomplete, uncertain and subjective information, but also resolve the problem of dynamic partner selection. Case study showed that the new method was feasible, practical and superior.

Original languageEnglish
Pages (from-to)1131-1136
Number of pages6
JournalJisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume13
Issue number6
StatePublished - Jun 2007

Keywords

  • Decision-making
  • Multiple classifier fusion
  • Partner selection
  • Supply chain

Fingerprint

Dive into the research topics of 'Dynamic partner selection in supply chain based on multiple classifier fusion'. Together they form a unique fingerprint.

Cite this