The assessment grade of eutrophication state of lake is given by calculation and comparison of the fuzzy degree values of these fuzzy sets.
并通过计算和比较这些模糊子集的模糊度大小给出湖泊富营养化状态的评价等级判断。
A new eutrophication assessment of lake water quality is presented according to the basic character of fuzzy similar select method.
根据模糊相似选择法的基本性质，提出一种新的湖泊水质富营养化综合评价方法。
A new model of lake and reservoir eutrophication assessment can be established with RBF network of artificial neural network.
运用人工神经网络中的RBF网络算法，建立一种新的湖库水质富营养化程度评价模型。
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