本文根据我国垃圾堆放场的具体情况，提出稳定化程度的判别评价指标体系，并且确定稳定化程度的判别标准，运用BP神经网络建立垃圾堆放场稳定化程度的综合判别模型。
This paper sets up index system and its standard of judgment for refuse stabilization degree according to these dumps in our country and builds integrated judgment model based on BP neural network.
根据各含水层水样的水化学资料，用模糊综合评判方法建立矿井突水水源判别模型，并通过与其它方法对比，效果较。
Based on hydrochemical data of water samples from each water-bearing stratum, a discernment model of mine shaft water resource outburst is established using fuzzy comprehensive evaluation.
根据模糊数学的隶属函数和最大隶属原则，讨论了模糊综合评判方法和应用准则，建立了测井判别油水层的模糊数学模型。
Discussed are the fuzzy comprehensive evaluation method and its application principle according to membership function and maximum subordination principle in fuzzy mathematics.
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