INTUITIONISTIC FUZZY DENSITY-BASED AGGREGATION OPERATORS AND THEIR APPLICATIONS TO GROUP DECISION MAKING WITH INTUITIONISTIC PREFERENCE RELATIONS

In fuzzy environments, some operators have been developed for aggregating intuitionistic fuzzy information which is expressed in pairs of the membership degrees and the non-membership degrees. However, the existing intuitionistic fuzzy aggregation operators cannot consider and reflect the density of intuitionistic fuzzy information distribution. To solve the issue, in this paper, we first develop some intuitionistic fuzzy density-based aggregation operators. Then by combining the developed operators with the existing intuitionistic fuzzy aggregation operators, we put forward some synthesized intuitionistic fuzzy aggregation operators. Furthermore, we utilize the synthesized intuitionistic fuzzy aggregation operators to develop an approach to group decision making based on intuitionistic preference relations, and illustrate our approach with a practical example of the evaluation of new medicines.