TY - JOUR
T1 - An integrated approach of fuzzy linguistic preference based AHP and fuzzy COPRAS for machine tool evaluation
AU - Nguyen, Huu Tho
AU - Md Dawal, Siti Zawiah
AU - Nukman, Yusoff
AU - Aoyama, Hideki
AU - Case, Keith
N1 - Funding Information:
The authors would like to acknowledge the JICA (Japan International Cooperation Agency) project of AUN/Seed-Net (the ASEAN University Network/the Southeast Asia Engineering Education Development Network), Keio University (Japan) and the Ministry of Education Malaysia for providing the financial and research assistance in the completion of this project.
Publisher Copyright:
© 2015 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2015/9/14
Y1 - 2015/9/14
N2 - Globalization of business and competitiveness in manufacturing has forced companies to improve their manufacturing facilities to respond to market requirements. Machine tool evaluation involves an essential decision using imprecise and vague information, and plays a major role to improve the productivity and flexibility in manufacturing. The aim of this study is to present an integrated approach for decision-making in machine tool selection. This paper is focused on the integration of a consistent fuzzy AHP (Analytic Hierarchy Process) and a fuzzy COmplex PRoportional ASsessment (COPRAS) for multi-attribute decisionmaking in selecting the most suitable machine tool. In this method, the fuzzy linguistic reference relation is integrated into AHP to handle the imprecise and vague information, and to simplify the data collection for the pair-wise comparison matrix of the AHP which determines the weights of attributes. The output of the fuzzy AHP is imported into the fuzzy COPRAS method for ranking alternatives through the closeness coefficient. Presentation of the proposed model application is provided by a numerical example based on the collection of data by questionnaire and from the literature. The results highlight the integration of the improved fuzzy AHP and the fuzzy COPRAS as a precise tool and provide effective multi-attribute decision-making for evaluating the machine tool in the uncertain environment.
AB - Globalization of business and competitiveness in manufacturing has forced companies to improve their manufacturing facilities to respond to market requirements. Machine tool evaluation involves an essential decision using imprecise and vague information, and plays a major role to improve the productivity and flexibility in manufacturing. The aim of this study is to present an integrated approach for decision-making in machine tool selection. This paper is focused on the integration of a consistent fuzzy AHP (Analytic Hierarchy Process) and a fuzzy COmplex PRoportional ASsessment (COPRAS) for multi-attribute decisionmaking in selecting the most suitable machine tool. In this method, the fuzzy linguistic reference relation is integrated into AHP to handle the imprecise and vague information, and to simplify the data collection for the pair-wise comparison matrix of the AHP which determines the weights of attributes. The output of the fuzzy AHP is imported into the fuzzy COPRAS method for ranking alternatives through the closeness coefficient. Presentation of the proposed model application is provided by a numerical example based on the collection of data by questionnaire and from the literature. The results highlight the integration of the improved fuzzy AHP and the fuzzy COPRAS as a precise tool and provide effective multi-attribute decision-making for evaluating the machine tool in the uncertain environment.
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U2 - 10.1371/journal.pone.0133599
DO - 10.1371/journal.pone.0133599
M3 - Article
C2 - 26368541
AN - SCOPUS:84947447602
SN - 1932-6203
VL - 10
JO - PloS one
JF - PloS one
IS - 9
M1 - e0133599
ER -