The Least Square Method of Weight Based on PSO Algorithm

摘要

In the decision making based on reciprocal judgment matrix, the least square method of weights is an important method to determine the weight of decision variables, and Lagrange function is often used to solve the optimal solution of the model. In this paper, particle swarm optimization (PSO) is mainly used to solve the least-square model of weights, and the feasibility of the algorithm is illustrated by the comparison and analysis between an example and Lagrange function method.