论文部分内容阅读
The aim of this paper is to develop a method for ranking trapezoidal intuitionistic fuzzy numbers(TrIFNs)in the process of decision making in the intuitionistic fuzzy environment.Firstly,the concept of TrIFNs is introduced.Arithmetic operations and cut sets over TIFNs are investigated.Then,the values and ambiguities of the membership degree and the non-membership degree for TrIFNs are defined as well as the value-index and ambiguity-index.Finally,a value and ambiguity-based ranking method is developed and applied to solve multi-attribute decision making problems in which the ratings of alternatives on attributes are expressed using TrIFNs.A numerical example is examined to demonstrate the implementation process and applicability of the method proposed in this paper.Furthermore,comparison analysis of the proposed method is conducted to show its advantages over other similar methods.