一种基于PSO算法的群体决策新方法

A novel group decision making based on an PSO algorithm

为了提高群体决策者意见的一致性和协调性,提出了偏好矩阵集成的新方法。基于决策者用区间积型互反判断矩阵来表示他们对方案的偏好,建立了区间积型互反判断矩阵的最大最小值集成模型,利用粒子群优化算法(PSO)去求解模型,并通过数值例子的结果说明了集成模型的合理性和可行性。

In order to improve the consistency and coordination of the opinions of group decision makers,a new method of preference matrix integration is proposed.Based on the decision makers using the interval reciprocal judgment matrix to express their preference of alternatives,the maximum-minimum integration model for interval multiplicative reciprocal judgment matrix is established,the particle swarm optimization algorithm(PSO)is used to solve the model,and the result of numerical example is used to illustrate the reasonable and feasibility of the integration model.