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首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Assessment of River Water Quality Based on an Improved Fuzzy Matter-Element Model
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Assessment of River Water Quality Based on an Improved Fuzzy Matter-Element Model

机译：基于改进的模糊物元模型的河流水质评价

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In this paper, an improved fuzzy matter-element (IFME) method was proposed, which integrates the classical matter-element (ME) method, set pair analysis (SPA), and variable coefficient method (VCM). The method was applied to evaluate water quality of five monitor stations along Caoqiao River in Yixing city, Jiangsu Province, China. The levels of river water quality were determined according to fuzzy closeness degree. Compared with the traditional evaluation methods, the IFME method has several characteristics as follows: (i) weights were determined by the VCM method, which can reduce workload and overcome the adverse effects of abnormal values, (ii) membership degrees were defined by SPA, which can utilize monitored data more scientifically and comprehensively, and (iii) IFME is more suitable for seriously polluted rivers. Overall, these findings reinforce the notion that an integrated approach is essential for attaining scientific and objective assessment of river water quality.
机译：本文提出了一种改进的模糊物元（IFME）方法，该方法将经典物元（ME）方法，集对分析（SPA）和可变系数法（VCM）集成在一起。该方法用于评价江苏省宜兴市qiao桥河沿岸五个监测站的水质。根据模糊接近度确定河流水质水平。与传统的评估方法相比，IFME方法具有以下几个特点：（i）通过VCM方法确定权重，可以减轻工作量并克服异常值的不利影响；（ii）SPA定义隶属度；可以更科学，更全面地利用监测数据；（iii）IFME更适用于污染严重的河流。总体而言，这些发现强化了这样一种观念，即综合方法对于获得科学客观的河流水质评估至关重要。

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