Journal
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
Volume 21, Issue 4, Pages 603-627Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0218488513500293
Keywords
Multiple attribute group decision making (MAGDM); uncertain linguistic variable; prioritized aggregation operators; uncertain linguistic prioritized weighted average (ULPWA) operator; uncertain linguistic prioritized weighted geometric (ULPWG) operator; uncertain linguistic prioritized weighted harmonic average (ULPWHA) operator
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Funding
- National Natural Science Foundation of China [61174149]
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In this paper, we investigate the uncertain linguistic multiple attribute group decision making (MAGDM) problems in which the attributes and experts are in different priority level. Motivated by the idea of prioritized aggregation operators (R. R. Yager, Prioritized aggregation operators, Int. J. Approximate Reasoning 48 (2008) 263-274.), we develop some prioritized aggregation operators for aggregating uncertain linguistic information, and then apply them to develops some models for uncertain linguistic 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.
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