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.

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基于生态环境质量概念的模糊性和评价指标的不相容性，在模糊物元分析的基础上，结合模糊集理论和欧氏贴近度概念，建立了区域生态环境评价的模糊物元模型。

On the basis of the fuzzy set theory and the concept of Euclid approach degree, a fuzzy matter-element model for assessment of regional eco-environmental quality is established.

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然而这些模型在模糊环境下如何应用，尚缺乏研究。

However there is a little study on how to apply the models to fuzzy environment.

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