研究了基于多准则学习的模糊神经网络评价环境大气质量的模型。
This paper is concerned with an assessment model of air environmental quality by using fuzzy neural network with multi criteria learning algorithm.
为提高评价的准确性，增加了多个评价准则，从而形成了多准则随机DEA评价模型。
To get more accurate evaluation, multiple criteria are added to the DEA model to get a multicriteria random DEA model.
由于在该模型中采用了熵权，从而避免了低层次多因素权重确定的主观性；该模型以综合关联度作为评价准则，避免了评价中的主观性。
In this model, the comprehensive correlative degree was taken as the evaluation criteria so as to avoid the subjectivity caused by human during e.
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