A fuzzy dempster shafer method and its application in plant location selection

Yong Deng, Xiaoyan Su, Wen Jiang

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

4 Scopus citations

Abstract

Selecting a plant location can be seen as a multiple-criteria decision-making (MCDM) problem. In this paper, a new decision model based on our proposed fuzzy Dempster Shafer method for selecting plant location under linguistic environments is presented. The decision result can be obtained through Dempster combination rule. It is shown that the proposed method can efficiently deal with uncertain information processing in MCDM. A numerical example to select plant location is used to illustrate the efficiency of the proposed method.

Original languageEnglish
Title of host publicationDigital Design and Manufacturing Technology
Pages831-835
Number of pages5
DOIs
StatePublished - 2010
Event2010 Global Conference on Digital Design and Manufacturing Technology - Hangzhou, Zhejiang, China
Duration: 26 Apr 201028 Apr 2010

Publication series

NameAdvanced Materials Research
Volume102-104
ISSN (Print)1022-6680

Conference

Conference2010 Global Conference on Digital Design and Manufacturing Technology
Country/TerritoryChina
CityHangzhou, Zhejiang
Period26/04/1028/04/10

Keywords

  • Decision-making
  • Dempster shafer evidence theory
  • Fuzzy sets theory
  • Plant location selection

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