INTUITIONISTIC FUZZY DENSITY-BASED AGGREGATION OPERATORS AND THEIR APPLICATIONS TO GROUP DECISION MAKING WITH INTUITIONISTIC PREFERENCE RELATIONS
International Journal of Uncertainty Fuzziness and Knowledge-Based SystemsPublished 1 February 2014
Hua Zhao, Zeshui Xu, ZEQING YAO
Citations16
SJR quartileQ3
SJR score0.32
SNIP0.58
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TL;DR
The synthesized intuitionistic fuzzy aggregation operators are utilized to develop an approach to group decision making based on intuitionistic preference relations, and illustrate the approach with a practical example of the evaluation of new medicines.
Abstract
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.
Keywords
Decision Sciences
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