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

doi:10.4028/www.scientific.net/AMM.315.196

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

Department of System Design Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 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 language	English
Title of host publication	Mechanical and Manufacturing Engineering
Pages	196-205
Number of pages	10
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.315.196
Publication status	Published - 2013
Event	3rd International Conference on Mechanical and Manufacturing Engineering, ICME 2012 - , Malaysia Duration: 2012 Nov 20 → 2012 Nov 21

Publication series

Name	Applied Mechanics and Materials
Volume	315
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Other

Other	3rd International Conference on Mechanical and Manufacturing Engineering, ICME 2012
Country/Territory	Malaysia
Period	12/11/20 → 12/11/21

Keywords

Decision-making
FMC
Intuitionistic fuzzy TOPSIS
Machine selection

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.4028/www.scientific.net/AMM.315.196

Cite this

Tho, NH, Dawal, SZM, Yusoff, N, Tahriri, F & Aoyama, H 2013, Selecting a CNC machine tool using the intuitionistic fuzzy TOPSIS approach for FMC. in Mechanical and Manufacturing Engineering. Applied Mechanics and Materials, vol. 315, pp. 196-205, 3rd International Conference on Mechanical and Manufacturing Engineering, ICME 2012, Malaysia, 12/11/20. https://doi.org/10.4028/www.scientific.net/AMM.315.196

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title = "Selecting a CNC machine tool using the intuitionistic fuzzy TOPSIS approach for FMC",

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.",

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AU - Yusoff, Nukman

AU - Tahriri, Farzad

AU - Aoyama, Hideki

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Decision-making

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KW - Intuitionistic fuzzy TOPSIS

KW - Machine selection

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

Abstract

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Keywords

ASJC Scopus subject areas

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