基于正态云相似度度量的城市生态环境质量综合评价

Comprehensive Evaluation of Urban Ecological Environment Quality Based on the Normal Cloud Similarity Measurement

近年间云模型相关理论发展,其与综合评价模型之间的组合应用也愈发广泛。本文提出构建基于正态云相似度度量的城市生态环境质量综合评价模型,通过改进正态云组合赋权方法,进行权重信息的有效解读与融合,提出一种兼顾距离与形状的云相似度度量方法,计算得到云模型间相似度大小确定最终评价结果。将该模型实际应用于长三角中心区城市群的生态环境质量综合评价,结果表明:该城市群在2021年经济发展及社会保障整体发展水平属等级“一般”,资源利用及生态健康整体发展水平属等级“良”,近半数城市综合评价等级属“良”且城市群整体发展趋势向“良”。

The development of cloud modeling-related theories has led to an increasingly widespread combination of cloud modeling and comprehensive evaluation models in recent years. This article proposes the construction of a comprehensive evaluation model for urban ecological environment quality based on normal cloud similarity measurement. By improving the normal cloud combination weighting method for effective interpretation and fusion of weight information, a cloud similarity measurement method that takes into account distance and shape is proposed. The similarity size between cloud models is calculated to determine the final evaluation result. The model was actually applied to the comprehensive evaluation of ecological environment quality in the central urban agglomeration of the Yangtze River Delta. The results showed that in 2021, the overall development level of economic development and social security in the urban agglomeration was rated as “average”, the overall development level of resource utilization and ecological health was rated as “good”, and nearly half of the cities were rated as “good” in the comprehensive evaluation, and the overall development trend of the urban agglomeration was towards “good”.