RESEARCH ON A NOVEL EVALUATION CRITERION OF RURAL PUBLIC SPACE ENVIRONMENTAL CAPACITY BASED ON AHP FUZZY METHOD

被引:0
|
作者
Han, Bo [1 ]
Yu, Jia [1 ]
机构
[1] Qiqihar Univ, Coll Architecture & Civil Engn, Qiqihar 161006, Heilongjiang, Peoples R China
来源
FRESENIUS ENVIRONMENTAL BULLETIN | 2020年 / 29卷 / 05期
关键词
AHP fuzzy method; cold country; public space; index weight; environmental capacity;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The environmental capacity of public space is an important part of rural construction, which directly affects the construction of rural construction and social stability. Therefore, the AHP (Analytic Hierarchy Process) fuzzy method based on the evaluation method of the rural public space capacity in the cold region was studied. When the AHP analysis method was used to determine the weights of indicators at all levels, the importance of the pair-based evaluation indexes was evaluated with the Delphi method and expert opinions, and the judgment matrix of the evaluation index of the rural public space environmental capacity was constructed. The fuzzy comprehensive evaluation method is adopted to obtain relevant factors on the basis of layer upon layer extrapolation, and to obtain the influence degree of social and economic aspects of the environmental capacity of the public space in the cold countryside. In other words, the weight of the evaluation index of the environmental capacity of the public space in the cold countryside is calculated and the consistency test is carried out. According to the index weight, this paper constructs the evaluation index system of the public space environmental capacity of the villages in the cold region, which is mainly composed of four evaluation systems of society-nature-economy-resource, and adopts this system to evaluate the environmental capacity of the public space of the villages in the cold region. The experimental results show that the proposed method can effectively evaluate the environmental capacity of rural public space in cold regions, and the stochastic consistency ratio and calculation time of the judgment matrix are the shortest, and the index weight value has the best reliability.
引用
收藏
页码:3818 / 3826
页数:9
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