Selecting a CNC machine tool using the intuitionistic fuzzy TOPSIS approach for FMC

Nguyen Huu Tho, Siti Zawiah Md Dawal, Nukman Yusoff, Farzad Tahriri, Hideki Aoyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Decision making for machine tool selection is intractable work of managers due to the factors involving the vague and imprecise information. The degree of hesitation is considered in the expert's judgment. In this paper, an integration of the intuitionistic fuzzy (IF) Entropy and TOPSIS method are utilized to solve the vague information for decision-making process in machine tool selection. In particular, the weights of criteria are calculated by the IF Entropy and the TOPSIS is employed to determine the priority of alternative. The results of the numerical example show this integration is practical and easy to use for engineers and managers in the companies.

Original languageEnglish
Title of host publicationMechanical and Manufacturing Engineering
Pages196-205
Number of pages10
DOIs
Publication statusPublished - 2013 Apr 24
Event3rd International Conference on Mechanical and Manufacturing Engineering, ICME 2012 - , Malaysia
Duration: 2012 Nov 202012 Nov 21

Publication series

NameApplied Mechanics and Materials
Volume315
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Other

Other3rd International Conference on Mechanical and Manufacturing Engineering, ICME 2012
CountryMalaysia
Period12/11/2012/11/21

Keywords

  • Decision-making
  • FMC
  • Intuitionistic fuzzy TOPSIS
  • Machine selection

ASJC Scopus subject areas

  • Engineering(all)

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