ID 原文 译文
11774 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.
11775 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.
11776 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。 Using the ideas of integrated triangular fuzzy soft set defines the interval arithmetic weighted average operator, the different time interval triangular fuzzy soft chi-chi become a comprehensive range of triangular fuzzy soft set.
11777 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.
11778 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. ‭
11779 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.
11780 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.
11781 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;
11782 并受狼群的繁衍方式的启发,在二进制狼群算法的基础上提出了求解多维背包问题的改进二进制狼群算法(improve binary wolf pack algorithm,IBWPA)。 And inspired by wolves in the mode of reproduction, in binary wolves algorithm is proposed on the basis of an improved algorithm of binary wolves multidimensional knapsack problem (improve binary Wolf pack algorithm, IBWPA).
11783 通过求解19组不同规模的典型多维背包算例和与其他算法的对比分析,例证了算法的有效性和计算稳定性。 By solving the 19 groups of different sizes of multidimensional knapsack typical example and comparison with other algorithm analysis, example the effectiveness of the algorithm and calculation stability.