Journal
KNOWLEDGE-BASED SYSTEMS
Volume 31, Issue -, Pages 176-182Publisher
ELSEVIER
DOI: 10.1016/j.knosys.2012.03.011
Keywords
Multiple attribute decision making (MADM); Hesitant fuzzy values; Prioritized aggregation operators; Hesitant fuzzy prioritized weighted average (HFPWA) operator; Hesitant fuzzy prioritized weighted geometric (HFPWG) operator
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Funding
- National Natural Science Foundation of China [61174149]
- Natural Science Foundation of CQ CSTC of the People's Republic of China [CSTC, 2011BA0035]
- Humanities and Social Sciences Foundation of Ministry of Education of the People's Republic of China [11XJC630011, 10XJA630008]
- China Postdoctoral Science Foundation [20100480269]
- Science and Technology Research Foundation of Chongqing Education Commission [KJ111214]
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In this paper, we investigate the hesitant fuzzy multiple attribute decision making (MADM) problems in which the attributes are in different priority level. Motivated by the ideal of prioritized aggregation operators ERR. Yager, Prioritized aggregation operators, International Journal of Approximate Reasoning 48 (2008) 263-274], we develop some prioritized aggregation operators for aggregating hesitant fuzzy information, and then apply them to develop some models for hesitant fuzzy multiple attribute decision making (MADM) problems in which the attributes are in different priority level. Finally, a practical example about talent introduction is given to verify the developed approaches and to demonstrate its practicality and effectiveness. (C) 2012 Elsevier B.V. All rights reserved.
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