A pre-extension of TOPSIS for belief group decision making

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

Abstract

This paper extends TOPSIS (technique for order preference by similarity to ideal solution) by the approach of evidence combination to aggregating group preferences, in order to solve multiple attribute decision analysis (MADA) problems in the situation of belief group decision making (BGDM), where the attribute evaluation of each decision maker (DM) is represented by the bba (basic belief assignment), the applied foundation of Dempster-Shafer theory (DST). Corresponding to the approach, the extended TOPSIS model, named as the pre-extended model, is elaborated step by step, used to And the solution to BGDM. Furthermore, a numerical example clearly illustrates the procedure of pre-extended model for BGDM.

Original languageEnglish
Title of host publication2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007
PublisherIEEE Computer Society
Pages5725-5728
Number of pages4
ISBN (Print)1424413125, 1424413125, 9781424413126, 9781424413126
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007 - Shanghai, China
Duration: 21 Sep 200725 Sep 2007

Publication series

Name2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007

Conference

Conference2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007
Country/TerritoryChina
CityShanghai
Period21/09/0725/09/07

Keywords

  • Basic belief assignment
  • Belief group decision making
  • Group preferences aggregation
  • TOPSIS

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