Site selection of sustainable urban drainage systems using fuzzy logic and multi‐criteria decision‐making

This paper explores the implications of climate change and urban development on the design of sustainable urban drainage systems (SUDS) using the example of ponds and raingardens in Auckland, New Zealand. Many of Auckland's coastal and freshwater receiving environments have been degraded due to stormwater inflows and are potentially at further risk due to continued urbanisation and climate change. SUDS have been suggested as a possible means of adapting to those risks. However, there is little guidance available on how they should be designed for future conditions. Response-curves which relate changes in SUDS sizing to both climate change and imperviousness are presented as a means of displaying a range of possible future design needs. It is suggested that they could aid in the selection of adaptation strategies. The methodology followed is based on publicly available guidance material to provide a real world example of the design issues facing stormwater managers. An incremental adaptation strategy, whereby construction is staggered over time, is recommended for ponds which vary greatly in size depending on the projected climate and imperviousness. In contrast, adapting raingardens at the time of construction is pragmatic as the change in size, with even the maximum projected climate change, is modest.

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Site selection of wind farms using GIS and multi-criteria decision making method in Wafangdian, China

Energy ◽

10.1016/j.energy.2020.118222 ◽

2020 ◽

Vol 207 ◽

pp. 118222

Author(s):

Ye Xu ◽

Ye Li ◽

Lijun Zheng ◽

Liang Cui ◽

Sha Li ◽

...

Keyword(s):

Decision Making ◽

Site Selection ◽

Wind Farms ◽

Multi Criteria Decision Making ◽

Selection Of

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A Data-driven Improved Fuzzy Logic Control Optimization-simulation Tool for Reducing Flooding Volume at Downstream Urban Drainage Systems

10.31223/osf.io/dgsp7 ◽

2020 ◽

Author(s):

Jiada Li

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Control ◽

Data Driven ◽

Urban Drainage ◽

Simulation Tool ◽

Drainage Systems ◽

Control Optimization ◽

Logic Control ◽

Urban Drainage Systems ◽

Optimization Simulation

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Una comparación entre el método MOORA y CODAS bajo ambiente de Conjunto Pitagoreano Difuso

Revista de Innovación Sistemática ◽

10.35429/jsi.2019.10.3.9.19 ◽

2019 ◽

pp. 9-19

Author(s):

Abbi Azalia Flores-Ruvalcaba ◽

Luis Pérez-Domínguez ◽

Luz Angélica García-Villalba ◽

Sara Almeraz-Durán

Keyword(s):

Decision Making ◽

Fuzzy Logic ◽

Comparative Analysis ◽

Illustrative Case ◽

Multi Criteria Decision Making ◽

Qualitative Information ◽

Pythagorean Fuzzy Set ◽

Decision Making Capacity ◽

Decision Making Problem ◽

Selection Of

Multi-criteria decision-making methods (MCDM) have accelerated in recent years. Many authors have made remarkable manipulation of the uncertainty involved in MCDM problems as a constant to make the most appropriate decision among the alternatives proposed. For this reason, fuzzy logic has been integrated into the MCDM, achieving new hybrid methodologies. These have managed to increase decision-making capacity, allowing us to manipulate nonfuzzy (quantitative) and fuzzy (qualitative) information. The main of this paper presents the comparative analysis of the Pythagorean Fuzzy CODAS method in order to examine the advantages and differences in comparison to MOORA Pythagorean Fuzzy Set method. The analysis, in this sense, aims to present a new scenario for the selection of the best decision-making problem, taking its advantages and thus achieve a greater benefit in real problems applications. An illustrative case will be presented with the MOORA-PFS methodology, to see the results obtained with Pythagorean Fuzzy CODAS. Besides, this comparative study to academics to choose more operative methods for solve MCDM problems.

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