Skip to main navigation Skip to search Skip to main content

ELECTRE III based on ranking fuzzy numbers for deterministic and fuzzy maintenance strategy decision problems

  • Changyou Li*
  • , Minqiang Xu
  • , Song Guo
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Harbin Engineering University

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

Abstract

A few literatures on the maintenance strategy (MS) decision making have been found. Moreover, they never deal with the case that the most appropriate MS is selected for a machine when two kinds of evaluations of each MS are considered: deterministic or fuzzy in relation to each evaluation criterion (EC). In order to resolve the problem, ELECTRE III based on ranking fuzzy numbers is proposed in this paper. The distance index between the centroid point of a fuzzy number and original point is employed to deal with the fuzzy evaluations. Then, they are treated like deterministic evaluations while ELECTRE III is used. The result of case analysis shows that the proposed method can select the most appropriate MS for a machine when fuzzy or deterministic evaluation in relation to each evaluation criterion is considered.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Automation and Logistics, ICAL 2007
Pages309-312
Number of pages4
DOIs
StatePublished - 2007
Event2007 IEEE International Conference on Automation and Logistics, ICAL 2007 - Jinan, China
Duration: 18 Aug 200721 Aug 2007

Publication series

NameProceedings of the IEEE International Conference on Automation and Logistics, ICAL 2007

Conference

Conference2007 IEEE International Conference on Automation and Logistics, ICAL 2007
Country/TerritoryChina
CityJinan
Period18/08/0721/08/07

Keywords

  • Decision making
  • Distance index
  • ELECTRE III
  • Maintenance strategy
  • Ranking fuzzy numbers

Fingerprint

Dive into the research topics of 'ELECTRE III based on ranking fuzzy numbers for deterministic and fuzzy maintenance strategy decision problems'. Together they form a unique fingerprint.

Cite this