Hesitant fuzzy prioritized operators and their application to multiple attribute decision making

Authors:
Guiwu Wei
Affiliations:
Department of Economics and Management, Chongqing University of Arts and Sciences, Chongqing 402160, PR China
Venue:
Knowledge-Based Systems
Year:
2012

Citing 41
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Abstract

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 [R.R. 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.