区间三角模糊软集及其动态决策方法

为完善模糊软集理论，提出区间三角模糊软集的概念，并讨论其相关运算及性质。建立基于区间三角模糊软集的动态决策模型，其中，时间权重采用指数衰减方法进行确定，利用集成的思想定义了区间三角模糊软集算术加权平均算子，将不同时刻的区间三角模糊软集集成为综合区间三角模糊软集。给出不同对象选择值和决策值的求解公式，根据决策值大小来实现最优决策。最后总结出方法的具体步骤，并通过实例说明具体应用。

Interval-valued triangular fuzzy soft set and its method of dynamic decision making

The concept of interval valued triangular fuzzy soft set is presented and the relative operations and properties are discussed for improving the fuzzy soft theory. A dynamic decision making model is established based on the definition of interval valued triangular fuzzy soft set, in which the determination of period weights is by the use of exponential decay method, and the arithmetic weighted average operator of interval valued triangular fuzzy soft set has been given by the aggregating thought, thereby aggregating different time series interval valued triangular fuzzy soft sets into a collective interval valued triangular fuzzy soft set. The formulas of different objects selection and decision making value have been given, therefore the optimal decision making is achieved according to the size of the decision values. Finally, the steps of the proposed method have been concluded, and some examples are given to explain the application of the method.