Journal
APPLIED MATHEMATICAL MODELLING
Volume 37, Issue 7, Pages 4759-4770Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2012.09.048
Keywords
Multiple attribute group decision making (MAGDM); Triangular fuzzy numbers; Prioritized aggregation operators; Fuzzy prioritized weighted average (FPWA); operator Fuzzy prioritized weighted geometric; (FPWG) operator; Fuzzy prioritized weighted harmonic; average (FPWHA) operator
Funding
- National Natural Science Foundation of China [61174149]
- Natural Science Foundation Project of CQ CSTC of the People's Republic of China [2011BA0035]
- Humanities and Social Sciences Foundation of Ministry of Education of the People's Republic of China [11XJC630011]
- China Postdoctoral Science Foundation [20100480269]
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In this paper, we investigate the triangular fuzzy multiple attribute group decision making (MAGDM) problem in which the attributes and experts are in different priority level. Motivated by the ideal of prioritized aggregation operators (R.R. Yager, Prioritized aggregation operators, International Journal of Approximate Reasoning 48 (2008) 263-274.), we develop some prioritized aggregation operators for aggregating triangular fuzzy information, and then apply them to develop some models for triangular fuzzy multiple attribute group decision making (MAGDM) problems in which the attributes and experts are in different priority level. Finally, a practical example about talent introduction is given to verify the developed approach and to demonstrate its practicality and effectiveness. (C) 2012 Elsevier Inc. All rights reserved.
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