Fuzzy Axiomatic Approach to Blue-green Infrastructure Strategy Selection: A Sustainability Perspective

D. Ighravwe, D. Mashao
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Abstract

Flood management is a global problem that has created immense contributions from researchers and practitioners, especially those in developing countries. These people often seek ways to minimise the aftermath of a flood. Recently, they are making a case for sustainable solutions to flood management. This study, therefore, contributes a sustainability model that addresses the problem of blue-green technology selection to the current discussion on flood management. It coupled the techno-economic, social, and environmental impact of a blue-green technology using the unique attributions of three multi-criteria decision-making tools: best-worst method, fuzzy axiomatic method and VIKOR; its performance was investigated with qualitative data sets that were obtained from experts. The outcomes of the investigation showed that techno-economic criteria contributed about 88.18% to the ranking of blue-green technology. The most and least suitable blue-green technologies for a community in Nigeria are Rainwater and floodwater harvesting and Retention lake, respectively. With these results, the proposed model will aid decision-makers strategic and tactical criteria that can be used to evaluate blue-green technology selection.
蓝绿色基础设施战略选择的模糊公理方法:可持续性视角
洪水管理是一个全球性问题,已经为研究人员和实践者,特别是发展中国家的研究人员和实践者做出了巨大贡献。这些人经常想方设法把洪水的后果降到最低。最近,他们正在为洪水管理的可持续解决方案提出一个案例。因此,本研究为当前关于洪水管理的讨论提供了一个解决蓝绿技术选择问题的可持续性模型。它使用三种多标准决策工具的独特属性将蓝绿技术的技术经济,社会和环境影响耦合在一起:最佳-最差方法,模糊公理方法和VIKOR;使用专家提供的定性数据集对其性能进行了调查。调查结果表明,技术经济指标对蓝绿科技排名的贡献率约为88.18%。最适合尼日利亚社区的蓝绿技术分别是雨水收集和洪水收集以及蓄湖技术。有了这些结果,提出的模型将帮助决策者制定战略和战术标准,用于评估蓝绿技术的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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