ID 原文 译文
50787 最后，通过数学仿真结果验证了动力学模型的准确性和控制方案的可行性。 Finally, the accuracy of the dynamic model is verified by mathematical simulation results and the feasibility of the control scheme.
50788 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。 To improve the fuzzy soft set theory, put forward the concept of interval triangular fuzzy soft set, and its related calculation and properties are discussed.
50789 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， Establish dynamic decision-making model based on interval triangular fuzzy soft set, among them, the time using exponential decay method to determine weights,
50790 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， using the ideas of integrated triangular fuzzy soft set defines the interval arithmetic weighted average operator,
50791 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。 the different time interval triangular fuzzy soft chi-chi become a comprehensive range of triangular fuzzy soft set.
50792 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。 Is given solution formulas of different object choice value and decision, according to the decision value size to achieve the optimal decision.
50793 最后总结出方法的具体步骤，并通过实例说明具体应用。 Finally summed up the methods of the specific steps, and through the example is given to illustrate the specific application.
50794 狼群算法启发于狼群群体生存智慧，已被用于复杂函数寻优和0-1普通背包问题求解。 Wolves algorithm inspired by wolves group survival wisdom, has been used to complex function optimization and 0-1 ordinary knapsack problem solving.
50795 针对多维背包问题特点，设计了试探装载式的修复机制有效修复和改进人工狼群中的不可行解， According to the characteristics of the multidimensional knapsack problem, design the test load type repair mechanism effectively repair and improve the artificial wolves of infeasible solution,
50796 改进了传统基于大惩罚参数的目标函数，减小了由于惩罚参数过大而导致算法陷入局部最优的风险; improved the traditional objective function based on big punishment parameters, reduced due to excessive punishment parameters algorithm falls into local optimum risk;