期刊
APPLIED SOFT COMPUTING
卷 42, 期 -, 页码 314-324出版社
ELSEVIER
DOI: 10.1016/j.asoc.2016.02.007
关键词
Group decision making; Computer numeric control machine tool; Triangular fuzzy number; Decision support model; VIKOR
资金
- National Natural Science Foundation of China [71301110]
- Humanities and Social Sciences Foundation of the Ministry of Education [13XJC630015]
- Research Fund for the Doctoral Program of Higher Education of China [20130181120059]
- Fundamental Research Funds for the Central Universities [skqy201525]
Computer numerical control (CNC) machines are used for repetitive, difficult and unsafe manufacturing tasks that require a high degree of accuracy. However, when selecting an appropriate CNC machine, multiple criteria need to be considered by multiple decision makers. In this study, a multi-criteria group decision making (MCGDM) technique based on the fuzzy VIKOR method is developed to solve a CNC machine tool selection problem. Linguistic variables represented by triangular fuzzy numbers are used to reflect decision maker preferences for the criteria importance weights and the performance ratings. After the individual preferences are aggregated or after the separation values are computed, they are then defuzzified. In this paper, two algorithms based on a fuzzy linguistic approach are developed. Based on these two algorithms and the VIKOR method, a general MCGDM framework is proposed. A CNC machine tool selection example illustrates the application of the proposed approach. A comparative study of the two algorithms using the above case study information highlighted the need to combine the ranking results, as both algorithms have distinct characteristics. (C) 2016 Elsevier B.V. All rights reserved.
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