针对模糊综合评判法主观性强,随机性大的缺点,引入模糊神经网络算法对其加以改进。
Because of the fuzzy comprehensive evaluation has subjective and random, we introduce the neural network to improve risk assessment model.
针对已有模糊综合评判方法存在的问题,提出了一种基于最小隶属度加权平均偏差法的改进方法。
For the problems of fuzzy comprehensive evaluation, an improved method is proposed which is based on the deviation method of minimum membership degree with weighted proportional means.
结果表明,改进后的模糊综合评判法是正确可行的。
It was concluded that the modified method of fuzzy comprehensive evaluation was workable and practical.
应用推荐