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Comprehensive Evaluation of Non-waste Cities Based on Two-Tuple Mixed Correlation Degree
International Journal of Fuzzy Systems ( IF 3.6 ) Pub Date : 2020-10-30 , DOI: 10.1007/s40815-020-00975-x
Congjun Rao , Yawen He , Xiaolu Wang

Under the background of vigorously promoting the construction of ecological civilization, the importance of constructing the “non-waste cities” becomes increasingly prominent. Taking 39 cities in the Yangtze River Economic Zone as the research objects, this paper establishes a new evaluation index system for “non-waste cities,” and proposes a multi-source, heterogeneous and multi-attribute decision-making method for the comprehensive evaluation of “non-waste cities.” Specifically, the evaluation index system of “non-waste cities” is constructed from four aspects: economic level, environmental pollution, resource consumption, and waste utilization. Considering that there is the characteristic of multi-source heterogeneity for the attribute values (that is, real numbers, interval numbers, and fuzzy linguistic variables coexist), the multi-source heterogeneous data are uniformly converted into two-tuples, and then a new two-tuple entropy weight method is proposed to determine the weights of evaluation attributes. Moreover, combining the traditional grey relational analysis method with TOPSIS, a multi-source, heterogeneous and multi-attribute decision-making method based on two-tuple mixed correlation degree (TTMCD-MSHMADM) is proposed to evaluate the “non-waste cities,” and an empirical analysis is made for the 39 cities in the Yangtze River Economic Zone. The result gives a theoretical basis for the formulation of sustainable economic development policies in the Yangtze River Economic Zone, and provides a decision reference for selecting the demonstration cities of “non-waste cities.”



中文翻译:

基于二元混合相关度的无浪费城市综合评价

在大力推进生态文明建设的大背景下,建设“无浪费城市”的重要性日益突出。以长江经济带39个城市为研究对象,建立了“无浪费城市”的新评价指标体系,提出了多源,多源,多属性的多指标决策方法。的“非浪费城市”。具体来说,从经济水平,环境污染,资源消耗和废物利用四个方面构建“非浪费城市”评价指标体系。考虑到属性值(即实数,区间数和模糊语言变量共存)具有多源异质性的特征,将多源异构数据统一转换为二元组,然后提出一种新的二元熵权法确定评价属性的权重。此外,结合传统的灰色关联度分析法和TOPSIS法,提出了一种基于二元混合相关度的多源,异质,多属性决策方法(TTMCD-MSHMADM),对“非浪费城市”进行了评价。 ”,并对长江经济带的39个城市进行了实证分析。研究结果为长江经济带可持续经济发展政策的制定提供了理论依据,为选择“无浪费城市”示范城市提供了决策参考。然后提出了一种新的二元熵权法来确定评价属性的权重。此外,结合传统的灰色关联分析法和TOPSIS法,提出了一种基于二元混合相关度的多源,异质,多属性决策方法(TTMCD-MSHMADM),对“无浪费城市, ”,并对长江经济带的39个城市进行了实证分析。研究结果为长江经济带可持续经济发展政策的制定提供了理论依据,为选择“无浪费城市”示范城市提供了决策参考。然后提出了一种新的二元熵权法来确定评价属性的权重。此外,结合传统的灰色关联度分析法和TOPSIS法,提出了一种基于二元混合相关度的多源,异质,多属性决策方法(TTMCD-MSHMADM),对“非浪费城市”进行了评价。 ”,并对长江经济带的39个城市进行了实证分析。研究结果为长江经济带可持续经济发展政策的制定提供了理论依据,为选择“无浪费城市”示范城市提供了决策参考。提出了一种基于二元混合相关度的多源,异质,多属性决策方法(TTMCD-MSHMADM),对“非浪费城市”进行了评价,并对39个城市进行了实证分析。长江经济区。研究结果为长江经济带可持续经济发展政策的制定提供了理论依据,为选择“无浪费城市”示范城市提供了决策参考。提出了一种基于二元混合相关度的多源,异质,多属性决策方法(TTMCD-MSHMADM),对“非浪费城市”进行了评价,并对39个城市进行了实证分析。长江经济区。研究结果为长江经济带可持续经济发展政策的制定提供了理论依据,为选择“无浪费城市”示范城市提供了决策参考。

更新日期:2020-10-30
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