Intuitionistic Trapezoidal Fuzzy Multiple Criteria Group Decision Making Method Based on Binary Relation

摘要: The aim of this paper is to develop a methodology for intuitionistic trapezoidal fuzzy multiple criteria group decision making problems based on binary relation. Firstly, the similarity measure between two vectors relation defined, which can be utilized aggregate preference information. Some desirable properties are also studied. Then, proposed, in values terms numbers (ITFNs). Simple and exact formulas proposed determine vector aggregation set. According weighted expected set, it easy rank alternatives select best one. Finally, we apply method Cosine numerical example; results show that our effective practical.