Fuzzy number intuitionistic fuzzy prioritized operators and their application to multiple attribute decision making

In this paper, we investigate the fuzzy number intuitionistic 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), in this paper, we propose some fuzzy number intuitionistic fuzzy prioritized aggregation operators: fuzzy number intuitionistic fuzzy prioritized weighted average (FNIFPWA) operator and fuzzy number intuitionistic fuzzy prioritized weighted geometric (FNIFPWG) operator. The prominent characteristic of these proposed operators is that they take into account prioritization among the attributes, and then apply them to develop some models for fuzzy number intuitionistic 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.