Fuzzy Axiomatic Approach to Blue-green Infrastructure Strategy Selection: A Sustainability Perspective
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...
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| Format: | Article |
| Language: | English |
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UJ Press
2020-12-01
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| Series: | Journal of Digital Food, Energy & Water Systems |
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| Online Access: | https://journals.uj.ac.za/index.php/DigitalFoodEnergy_WaterSystems/article/view/310 |
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| _version_ | 1841555046463963136 |
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| author | Desmond Ighravwe Daniel Mashao |
| author_facet | Desmond Ighravwe Daniel Mashao |
| author_sort | Desmond Ighravwe |
| collection | DOAJ |
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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.
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| format | Article |
| id | doaj-art-de7ca19e804b4c1dad09cbe73c59e045 |
| institution | Kabale University |
| issn | 2709-4510 2709-4529 |
| language | English |
| publishDate | 2020-12-01 |
| publisher | UJ Press |
| record_format | Article |
| series | Journal of Digital Food, Energy & Water Systems |
| spelling | doaj-art-de7ca19e804b4c1dad09cbe73c59e0452025-01-08T06:19:36ZengUJ PressJournal of Digital Food, Energy & Water Systems2709-45102709-45292020-12-011110.36615/digitalfoodenergywatersystems.v1i1.310Fuzzy Axiomatic Approach to Blue-green Infrastructure Strategy Selection: A Sustainability Perspective Desmond Ighravwe0Daniel Mashaoa:1:{s:5:"en_US";s:26:"University of Johannesburg";} 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. https://journals.uj.ac.za/index.php/DigitalFoodEnergy_WaterSystems/article/view/310Flood, multi-criteria, blue-green technology, sustainability, fuzzy logic |
| spellingShingle | Desmond Ighravwe Daniel Mashao Fuzzy Axiomatic Approach to Blue-green Infrastructure Strategy Selection: A Sustainability Perspective Journal of Digital Food, Energy & Water Systems Flood, multi-criteria, blue-green technology, sustainability, fuzzy logic |
| title | Fuzzy Axiomatic Approach to Blue-green Infrastructure Strategy Selection: A Sustainability Perspective |
| title_full | Fuzzy Axiomatic Approach to Blue-green Infrastructure Strategy Selection: A Sustainability Perspective |
| title_fullStr | Fuzzy Axiomatic Approach to Blue-green Infrastructure Strategy Selection: A Sustainability Perspective |
| title_full_unstemmed | Fuzzy Axiomatic Approach to Blue-green Infrastructure Strategy Selection: A Sustainability Perspective |
| title_short | Fuzzy Axiomatic Approach to Blue-green Infrastructure Strategy Selection: A Sustainability Perspective |
| title_sort | fuzzy axiomatic approach to blue green infrastructure strategy selection a sustainability perspective |
| topic | Flood, multi-criteria, blue-green technology, sustainability, fuzzy logic |
| url | https://journals.uj.ac.za/index.php/DigitalFoodEnergy_WaterSystems/article/view/310 |
| work_keys_str_mv | AT desmondighravwe fuzzyaxiomaticapproachtobluegreeninfrastructurestrategyselectionasustainabilityperspective AT danielmashao fuzzyaxiomaticapproachtobluegreeninfrastructurestrategyselectionasustainabilityperspective |