关键词: 模糊认知图, 权重矩阵, 粒子群优化算法, 量子粒子群优化算法

Abstract: A technique for fuzzy cognitive maps learning which is based on the quantum-behaved particle swarm optimization algorithm，has been introduced.The proposed approach is used for updating the nonzero weight values that workings of the approach are applied to an industry control problem，which has much realism meaning.The results support the claim that the proposed technique is a promising methodology for fuzzy cognitive maps learning，and the methodology is effective and efficient，which is better than traditional particle swarm optimization algorithm.

Key words: fuzzy cognitive maps, weight matrices, PSO algorithm, QPSO algorithm