Open AccessFuzzy Axiomatic Approach to Blue-green Infrastructure Strategy Selection: A Sustainability Perspective
Author(s) -
Desmond Eseoghene Ighravwe,
Daniel Mashao
Publication year - 2020
Publication title -
journal of digital food, energy and water systems
Language(s) - English
Resource type - Journals
eISSN - 2709-4529
pISSN - 2709-4510
DOI - 10.36615/digitalfoodenergywatersystems.v1i1.310
Subject(s) - sustainability , flood myth , rainwater harvesting , ranking (information retrieval) , axiomatic design , fuzzy logic , attribution , environmental economics , selection (genetic algorithm) , computer science , axiom , operations research , management science , business , environmental resource management , economics , artificial intelligence , engineering , mathematics , marketing , geography , ecology , psychology , social psychology , geometry , archaeology , lean manufacturing , biology
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.