Affiliations: College of Information Engineering, Jiangxi University of Technology, Network and Communication, Nanchang 330098, Jiangxi, China
Correspondence:
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Corresponding author: Chang-Quan Zhang, College of Information Engineering, Jiangxi University of Technology, Network and Communication, Nanchang 330098, Jiangxi, China. Tel./Fax: +86 018170067126; E-mail: [email protected].
Abstract: Einstein product is a t-norm and Einstein sum is a t-conorm. They are good alternatives to algebraic product and algebraic sum, respectively. Nevertheless, it seems that most of the existing triangular fuzzy aggregation operators are based on the algebraic operations. In this paper, we utilize Einstein operations to develop some triangular fuzzy aggregation operators: triangular fuzzy Einstein weighted average (TFEWA) operator, triangular fuzzy Einstein ordered weighted average (TFEOWA) operator and triangular fuzzy Einstein hybrid average (TFEHA) operator. Then, we have utilized these operators to develop some approaches to solve the multiple attribute decision making problems for evaluating the performance of vehicular Ad Hoc network. Finally, a practical example for evaluating the performance of vehicular Ad Hoc network is given to verify the developed approach.
Keywords: Multiple attribute decision making, triangular fuzzy information, Einstein aggregation operators, triangular fuzzy Einstein hybrid average (TFEHA) operator, vehicular Ad Hoc network
