Fuzzy prioritized operators and their application to multiple attribute group decision making
Applied Mathematical ModellingPublished 3 October 2012
Xiaofei Zhao, Rui Lin, Guiwu Wei
Citations59
SJR quartileQ1
SJR score1.13
SNIP1.72
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TL;DR
This paper develops some prioritized aggregation operators for aggregating uncertain information, and applies them to develop some models for uncertain multiple attribute group decision making (MAGDM) problems in which the attributes and experts are in different priority level.
Abstract
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.
Keywords
Computer ScienceDecision SciencesEngineering
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