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Groundwater Water Quality Evaluation Based on Fuzzy Pattern Recognition Model

机译:基于模糊模式识别模型的地下水水质评估

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Water quality evaluation involves a number of indicators. Indicator weights based on different methods directly affects the result of water quality evaluation. On the other hand, "excellent" or "bad" water quality is a fuzzy concept, so how to describe the fuzzy concept well is an important problem needing to solve in the water quality evaluation. For two problems above, in this paper, binary comparison method to determine weights based on the engineering fuzzy set theory is applied to determine water quality 'evaluation indicator weights. At the same time, fuzzy pattern recognition model on the basis of this theory is used to evaluate water quality. Combininewith the Jiansanjiang water quality evaluation, this paper discusses the specific application of fuzzy set theory in the process of water quality evaluation, and achieves a more satisfactory evaluation result.
机译:水质评估涉及许多指标。基于不同方法的指示重量直接影响水质评估的结果。另一方面,“优秀”或“糟糕的”水质是一种模糊的概念,所以如何描述模糊的概念,这是一个需要解决水质评估中的重要问题。在上面的两个问题,在本文中,应用了基于工程模糊集理论的重量的二进制比较方法来确定水质的评价指标权重。同时,基于该理论的模糊模式识别模型用于评估水质。联合国嘉建江水质评价,本文讨论了模糊集理论在水质评价过程中的具体应用,实现了更令人满意的评价结果​​。

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