2021
DOI: 10.1002/mma.7090
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District metered area design through multicriteria and multiobjective optimization

Abstract: The design of district metered areas (DMA) in potable water supply systems is of paramount importance for water utilities to properly manage their systems. Concomitant to their main objective, namely deliver quality water to consumers, the benefits include leakage reduction and prompt reaction in cases of natural or malicious contamination events. Given the structure of a water distribution network (WDN), graph theory is the basis for DMA design, and clustering algorithms can be applied to perform the partitio… Show more

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Cited by 22 publications
(11 citation statements)
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“…Since multi-objective optimization models end up with multiple solutions for DMAs identification, multi-criteria decision-making tools such as Analytical and Hierarchical Process (AHP), TOPSIS, etc. have been used in recent studies [15,29,30].…”
Section: Figure 1: Generalized Flow Diagram Of Dmas Identification Proceduresmentioning
confidence: 99%
“…Since multi-objective optimization models end up with multiple solutions for DMAs identification, multi-criteria decision-making tools such as Analytical and Hierarchical Process (AHP), TOPSIS, etc. have been used in recent studies [15,29,30].…”
Section: Figure 1: Generalized Flow Diagram Of Dmas Identification Proceduresmentioning
confidence: 99%
“…The optimal layout of district metering areas has been done by combining a k-means clustering algorithm, see [150], with MCDA methods such as AHP or TOPSIS using four criteria (cost, pressure, resilience and water quality) [151]. MCDA has also been used in selecting river water transfer options in Iran using AHP with 14 criteria grouped under 4 headings (environmental, economic, technical and socio-cultural) [152].…”
Section: Focus On Water Supplymentioning
confidence: 99%
“…Fuzzy relation equations (FRE) are one of the most common fuzzy tools in processes involving approximated reasoning and dealing with uncertainty [1][2][3][4][5]. Its relevance has motivated a deep research on resolution techniques [6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%