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The aim of this paper is to show that the normalizing rank aggregation method can not only be used to derive the priority vector for a multiplicative preference relation, but also for the additive transitive fuzzy preference relation. To do so, a simple functional equation between fuzzy preference's element and priority weight is derived firstly, then,(More)
The multi-attribute decision making problems are studied, in which the information about attribute weights is completely unknown and the attribute values take the form of uncertain linguistic variables. The concept of deviation degree between uncertain linguistic variables is defined. A formula of possibility degree for the comparison between uncertain(More)
  • Yejun Xu
  • 2007
The multi-attribute decision making problems are studied, in which the information about the attribute values takes the form of uncertain linguistic variables, and the information about attribute weights is incompletely known. The concept of deviation degree between uncertain linguistic variables is defined, and ideal point of uncertain linguistic decision(More)
  • Yejun Xu
  • 2010
The aim of this paper is to develop a method to determine the weights of attributes objectively under intuitionistic fuzzy environment. Based on the mean deviation, we establish an optimization model in which the information about attribute weights is completely unknown. By solving the model, we get a simple and exact formula which can be used to determine(More)
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