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研究了决策者的偏好信息(属性值)为梯形模糊语言变量(TFLV)的模糊语言多属性决策问题.定义了2个梯形模糊语言变量比较的可能度公式并研究了它的一些基本性质,给出了基于可能度公式的梯形模糊语言变量多属性决策的方案排序方法.这种方法通过对决策信息进行TFLWA算子加权集结,并通过比较梯形模糊语言变量的可能度得到所有方案的排序结果.在不损失模糊语言信息的条件下,该方法计算过程简单,决策结果合理且有效.最后,通过一个实例说明了该方法的操作过程.
This paper studies the fuzzy language multi-attribute decision making problem in which the preference information (attribute value) of the decision makers is the trapezoidal fuzzy linguistic variable (TFLV), defines the probability formula of the comparison of two trapezoidal fuzzy linguistic variables and studies some basic properties of A method based on probability formula is proposed to solve the multi-attribute decision making problem of trapezoidal fuzzy linguistic variables. This method weights the decision information by TFLWA operator and obtains the result of all the schemes by comparing the possibility of trapezoidal fuzzy linguistic variables. Without losing the information of fuzzy language, this method has a simple calculation process and a reasonable and effective decision-making result.Finally, an example is given to illustrate the operation of this method.