Applications of multicriteria methods in supporting decision-making in water distribution networks

a systematic review

Authors

DOI:

https://doi.org/10.47236/2594-7036.2026.v10.2095

Keywords:

Multi-Criteria Decision Analysis, Problem structuring, Sanitation asset management, Water distribution networks, Weight elicitation

Abstract

The water distribution network presents itself as a large model requiring complex decision-making and difficult operation. Ensuring efficient management demands, primarily, structured processes to improve and allocate resources under multiple technical and financial constraints. This study presents a systematic literature review on the application of Multi-Criteria Decision Analysis (MCDA) methods to support decision-making in water distribution networks. The objective was to analyse how these methods have been employed, identifying patterns regarding the types of problems addressed, the criteria considered, and the methods for defining weights. The review followed the PRISMA protocol guidelines, resulting in the selection of 32 studies published in international scientific databases. The results indicate that the application of MCDA varies according to the nature of the decision problem faced, directly influencing the set of criteria incorporated into the models. A predominance of technical, operational, and economic criteria was observed, while social, environmental, and territorial equity dimensions appear less frequently. Furthermore, a strong dependence on expert judgement was found in the definition of weights, with purely objective or exclusively data-driven approaches being rare. It is concluded that the problem-structuring stage and the definition of the set of criteria exert a more decisive influence on the results than the choice of the aggregation method itself. The findings reinforce the need for greater transparency in defining criteria and weights, as well as methodological advances that integrate empirical evidence, institutional participation, and robustness analyses in the application of MCDA to the sanitation sector.

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Author Biographies

Júlia Meireles Teixeira, Instituto Federal de Goiás

Environmental Engineer graduated from the Goiânia Campus of the Federal Institute of Education, Science and Technology of Goiás. Goiânia, Goiás, Brazil. E-mail: julinhamt91@gmail.com. ORCID: https://orcid.org/0009-0007-1007-1792. Lattes CV: https://lattes.cnpq.br/2808874019764172.

Marcela Leão Domiciano, Instituto Federal de Goiás

Master's degree from the Graduate Program in Geotechnics, Structures and Civil Construction at the Federal University of Goiás. Professor of Civil Engineering/Hydraulics in Basic, Technical, and Technological Education at Department 3, Goiânia Campus, Federal Institute of Education, Science and Technology of Goiás. Goiânia, Goiás, Brazil. Email: marcela.domiciano@ifg.edu.br. ORCID: https://orcid.org/0009-0003-8462-9470. Lattes Curriculum: https://lattes.cnpq.br/9559146894652643.

Eva Carolline Martins Oliveira, State University of Campinas

PhD in Environmental Technology from the State University of Campinas. Campinas, São Paulo, Brazil. E-mail: evacarolline.mo@gmail.com. ORCID: https://orcid.org/0000-0002-5765-1205. Lattes CV: http://lattes.cnpq.br/3636857838444670.  

Thomas Leonardo Marques de Castro Leal, Instituto Federal de Goiás

Doutor em Desenvolvimento e Meio Ambiente pela Universidade Estadual de Santa Cruz. Professor de Meio Ambiente do Ensino Básico, Técnico e Tecnológico do Departamento 2 do Campus Goiânia, do Instituto Federal de Educação, Ciência e Tecnologia de Goiás. Goiânia, Goiás, Brasil. Endereço eletrônico: thomas.leal@ifg.edu.br. Orcid: https://orcid.org/0000-0001-5656-783X. Currículo Lattes:  https://lattes.cnpq.br/8377605760720431.

References

ABNT. ASSOCIAÇÃO BRASILEIRA DE NORMAS TÉCNICAS. NBR 12218: Projeto de rede de distribuição de água para abastecimento público. Rio de Janeiro, 2017.

ALAGGIO, J.; BARROS, D.; BRENTAN, B.; CARPITELLA, S.; HERRERA, M.; IZQUIERDO, J. Assessment of Criticality in Water Distribution Networks via Complex Network Theory. Processes, v. 13, n. 408, p. 1-17, 2025. DOI: https://doi.org/10.3390/pr13020408. Disponível em: https://www.mdpi.com/2227-9717/13/2/408. Acesso em: 23 set. 2025. DOI: https://doi.org/10.3390/pr13020408

AȘCHILEAN, I.; GIURCA, I. Choosing a Water Distribution Pipe Rehabilitation Solution Using the Analytical Network Process Method. Water, v. 10, n. 484, p. 1-23, apr. 2018. DOI: https://doi.org/10.3390/w10040484. Disponível em: https://www.mdpi.com/2073-4441/10/4/484. Acesso em: 05 jul. 2025. DOI: https://doi.org/10.3390/w10040484

BEKER, B. A.; KANSAL, M. L. Pipe and isolation valve failure-impact analysis and prioritization model for an urban water distribution network. Journal of Hydroinformatics, v. 25, n. 2, p. 491-510, 2023. DOI: https://doi.org/10.2166/hydro.2023.179. Disponível em: https://iwaponline.com/jh/article/25/2/491/93555/Pipe-and-isolation-valve-failure-impact-analysis. Acesso em: 19 out. 2025. DOI: https://doi.org/10.2166/hydro.2023.179

BERREZEL, Y. A.; ABDELBAKI, C.; ROUISSAT, B.; BOUMAAZA, T.; KHALDOON, A. M. Decision support system for the management of water distribution networks a case study of Tourville, Algeria. LARHYSS Journal, ISSN 1112-3680, n. 54, p. 7-24, 2023. Disponível em: http://www.larhyss.net/ojs/index.php/larhyss/article/view/9892. Acesso em: 11 nov. 2025.

BRANS, J. P.; MARESCHAL, B. Promethee Methods. In: Multiple Criteria Decision Analysis: State of the Art Surveys. International Series in Operations Research & Management Science, vol 78. Springer, 2005. DOI: https://doi.org/10.1007/0-387-23081-5_5. Disponível em: https://link.springer.com/chapter/10.1007/0-387-23081-5_5. Acesso em: 09 jul. 2026

BROEKHUIZEN, H. et al. A Review and Classification of Approaches for Dealing with Uncertainty in Multi-Criteria Decision Analysis for Healthcare Decisions. PharmacoEconomics, [s. l.], v. 33, n. 5, p. 445-455, 2015. DOI: https://doi.org/10.1007/s40273-014-0251-x. Disponível em: https://link.springer.com/article/10.1007/s40273-014-0251-x. Acesso em: 12 ago. 2025. DOI: https://doi.org/10.1007/s40273-014-0251-x

CAETANO, J.; CARRIÇO, N.; COVAS, D. Lessons Learnt from the Application of MCDA Sorting Methods to Pipe Network Rehabilitation Prioritization. Water, v. 14, n. 736, p. 1-24, 2022. DOI: https://doi.org/10.3390/w14050736. Disponível em: https://www.mdpi.com/2073-4441/14/5/736. Acesso em: 27 jul. 2025. DOI: https://doi.org/10.3390/w14050736

CALDERON, D.; NAJAFI, M. Integrated Approach to Optimizing Selection and Placement of Water Pipeline Condition Monitoring Technologies. Eng, v. 6, n. 97, p. 1-29, mai. 2025. DOI: https://doi.org/10.3390/eng6050097. Disponível em: https://www.mdpi.com/2673-4117/6/5/97. Acesso em: 14 ago. 2025. DOI: https://doi.org/10.3390/eng6050097

CARVALHO, J.; LONGARAY, A. A. Priorização de projetos de recursos hídricos sob a perspectiva de modelos de apoio à decisão multicritério: uma revisão sistemática. Engenharia Sanitaria e Ambiental, [s. l.], v. 26, n. 6, p. 1155–1171, 2021. DOI: https://doi.org/10.1590/s1413-415220190259. Disponível em: https://www.scielo.br/j/esa/a/thLKW56D5Pgr8kw6FjNmtgv. Acesso em: 02 set. 2025. DOI: https://doi.org/10.1590/s1413-415220190259

CLAUDINO, C. M. de A. et al.. Avaliação das perdas em um sistema de

abastecimento de água de pequeno porte no semiárido brasileiro por aspectos multicriteriais. Revista de Gestão de Água da América Latina, v. 18, n. 13, p. 1-13, 2021. DOI: https://doi.org/10.21168/rega.v18e13. Disponível em: https://revistas.abrhidro.org.br/article.php?Article=5395. Acesso em: 28 out. 2025. DOI: https://doi.org/10.21168/rega.v18e13

CUNHA, M.; MARQUES, J.; SAVIĆ, D. A Flexible Approach for the Reinforcement of Water Networks Using Multi-Criteria Decision Analysis. Water Resources Management, v. 34, n. 14, p. 4469-4490, set. 2020. DOI: DOI: https://doi.org/10.1007/s11269-020-02655-9

https://doi.org/10.1007/s11269-020-02655-9. Disponível em: https://link.springer.com/article/10.1007/s11269-020-02655-9. Acesso em: 09 nov. 2025.

DALKEY, N.; HELMER, O. An experimental application of the Delphi method to the use of experts. Management Science, [s. l.], v. 9, n. 3, p. 458-467, abr. 1963. Disponível em: https://www.jstor.org/stable/2627117. Acesso em: 30 set. 2025. DOI: https://doi.org/10.1287/mnsc.9.3.458

DRICI, K. et al.. An optimal water supply network using a network based relational approach, case study of Khemis Miliana City in Algeria. Alexandria EngineeringJournal, v. 121, p. 592-605, fev. 2025. DOI: https://doi.org/10.1016/j.aej.2025.02.089. Disponível em: https://www.mdpi.com/2227-9717/13/2/408. Acesso em: 17 dez. 2025. DOI: https://doi.org/10.1016/j.aej.2025.02.089

ENSSLIN, L.; MONTIBELLER, G.; NORRIS, S. M. Apoio à decisão: metodologia para estruturação de problemas e avaliação multicritério de alternativas. Florianópolis: Insular, 2001.

EREN, H.; BOZKURT, C.; FIRAT, M. Determination of Weights and Priority Ranking of Leakage Management Components in Water Distribution Systems Using Analytical Hierarchy Process, Analytical Network Process and TOPSIS Methods. Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 49, p. 5161-5172, jan. 2025. DOI: https://doi.org/10.1007/s40996-024-01706-0. Disponível em: https://link.springer.com/article/10.1007/s40996-024-01706-0. Acesso em: 30 set. 2025. DOI: https://doi.org/10.1007/s40996-024-01706-0

FENG, Y. X. et al.. Visual analytic hierarchical process for in situ identification of leakage risk in urban water distribution network. Sustainable Cities and Society, v. 75, p. 103296, ago. 2021. DOI: https://doi.org/10.1016/j.scs.2021.103297. Disponível em: https://www.sciencedirect.com/science/article/pii/S2210670721005734. Acesso em: 21 jul. 2025. DOI: https://doi.org/10.1016/j.scs.2021.103297

GEBRE, S. L.; CATTRYSSE, D.; VAN ORSHOVEN, J. Multi-Criteria Decision-Making Methods to Address Water Allocation Problems: A Systematic Review. Water, [s. l.], v. 13, n. 2, p. 125, 2021. DOI: https://doi.org/10.3390/w13020125. Disponível em: https://www.mdpi.com/2073-4441/13/2/125. Acesso em: 15 out. 2025. DOI: https://doi.org/10.3390/w13020125

GUL, Ş.; FIRAT, M. Determination of priority regions for rehabilitation in water networks by multiple criteria decision making methods. Sigma J Eng & Nat Sci, v. 38, n. 3, p. 1481-1494, ago. 2020. DOI: https://doi.org/10.26480/wcm.01.2024.37.46. Disponível em: https://eds.yildiz.edu.tr/sigma/Articles. Acesso em: 04 nov. 2025.

HWANG, C.-L.; YOON, K. Multiple Attribute Decision Making. Berlin, Heidelberg: Springer Berlin Heidelberg, 1981. (Lecture Notes in Economics and Mathematical Systems). v. 188. DOI: http://link.springer.com/10.1007/978-3-642-48318-9. Disponível em: https://link.springer.com/book/10.1007/978-3-642-48318-9. Acesso em: 22 dez. 2025.

HELLER, L.; PÁDUA, V. L. de. Abastecimento de água para consumo humano. 2° Edição. Belo Horizonte: Editora UFMG, 2010.

JAFARI, S. M. et al.. A robust clustering-based multi-objective model for optimal instruction of pipes replacement in urban WDN based on machine learning approaches. Urban Water Journal, v. 20, n. 6, p. 689-706, 2023. DOI: https://doi.org/10.1080/1573062X.2023.2209063. 10 jul. 2025. Disponível em: https://www.tandfonline.com/doi/full/10.1080/1573062X.2023.2209063. Acesso em: 25 out. 2025. DOI: https://doi.org/10.1080/1573062X.2023.2209063

KARASNEH, S.; MOQBEL, S. Priority-Based Decision Model for Rehabilitation of Water Networks Using FAHP. Water Conservation & Management, [s. l.], v. 8, n. 1, p. 37-46, 2023. DOI: https://doi.org/10.26480/wcm.01.2024.37.46. Disponível em: https://www.watconman.org/archives-pdf/1wcm2024/1wcm2024-37-46.pdf. Acesso em: 12 nov. 2025. DOI: https://doi.org/10.26480/wcm.01.2024.37.46

KUSTERKO, S. et al.. Gestão de perdas em sistemas de abastecimento de água: uma abordagem construtivista. Engenharia Sanitária e Ambiental, v. 23, n. 3, p. 615-626, 2018. DOI: https://doi.org/10.1590/S1413-41522018156436. Disponível em: hhttps://www.scielo.br/j/esa/a/Rn6rhxLMbP6NyLNGR3YmJLx/abstract/?lang=pt. Acesso em: 07 dez. 2025. DOI: https://doi.org/10.1590/s1413-41522018156436

LIMA, G. M. et al.. Dimensionamento de redes de distribuição de água por meio de análise multicriterial. Revista DAE, v. 68, n. 221, p. 118-130, 2018. DOI: https://doi.org/10.36659 /dae.2020.010. Disponível em: https://www.revistadae.com.br/site/artigo/1831-Dimensionamento-de-redes-de-distribuicao-de-agua-por-meio-de-analise-multicriterial-. Acesso em: 16 ago. 2025. DOI: https://doi.org/10.36659/dae.2020.010

LIMA JUNIOR, F. R.; CARPINETTI, L. C. R. Uma comparação entre os métodos TOPSIS e Fuzzy-TOPSIS no apoio à tomada de decisão multicritério para seleção de fornecedores. Gestão & Produção, v. 22, n. 1, p. 17-34, 2015. DOI: https://doi.org/10.1590/0104-530X1190. Disponível em: https://www.scielo.br/j/gp/a/YYQS49M7kYZGVG8sgcKxJHC/abstract/?lang=en. Acesso em: 22 dez. 2025. DOI: https://doi.org/10.1590/0104-530X1190

LOPES, K. G. de O.; COELHO, M. M. L. P.; LIBANIO, M. Aplicação do Método da Análise Hierárquica na Priorização da Reabilitação de Redes de Distribuição de Água. Revista Brasileira de Recursos Hídricos, v. 16, n. 4, p. 181-194, 2011. Disponível em: https://revistas.abrhidro.org.br/article.php?Article=9. Acesso em: 05 set. 2025. DOI: https://doi.org/10.21168/rbrh.v16n4.p181-194

MORAIS, D. C.; CAVALCANTE, C. A. V.; DE ALMEIDA, A. T. Priorização de áreas de controle de perdas em redes de distribuição de água. Pesquisa Operacional, v. 30, n. 1, p. 15-32, 2010. DOI: https://doi.org/10.1590/S0101-74382010000100002. Disponível em: https://www.scielo.br/j/pope/a/mCgyZSTtZsVt67SqGng6mFF/abstract/?lang=pt. Acesso em: 20 out. 2025. DOI: https://doi.org/10.1590/S0101-74382010000100002

ORELLANA, A. et al.. Contribuição ao planejamento de reabilitação de redes de distribuição de água. Ribagua, v. 5, n. 2, p. 79-91, 2018. DOI: https://doi.org/10.1080/23863781.2018.1495991. Disponível em: https://www.tandfonline.com/doi/full/10.1080/23863781.2018.1495991. Acesso em: 08 nov. 2025. DOI: https://doi.org/10.1080/23863781.2018.1495991

PAGE, M. J. et al.. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. bmj, v. 372, n. 71. jan. 2021. DOI: https://doi.org/10.1136/bmj.n71. Disponível em: https://www.mdpi.com/2227-9717/13/2/408. Acesso em: 14 dez. 2025. DOI: https://doi.org/10.1136/bmj.n71

PEREIRA, L.S.; LEÃO, J. A decision framework based on knowledge aggregation for the assessment of technologies to reduce water losses. Urban Water Journal, p. 1- 15, out. 2025. DOI: https://doi.org/10.1080/1573062X.2025.2571906. Disponível em: https://www.bmj.com/content/372/bmj.n71. Acesso em: 03 jul. 2025.

PEREIRA, L. de S.; MORAIS, D. C.; FIGUEIRA, J. R. Using criticality categories to evaluate water distribution networks and improve maintenance management. Sustainable Cities and Society, v. 61, p. 102308, 2020. DOI: https://doi.org/10.1016/j.scs.2020.102308. Disponível em: https://www.sciencedirect.com/science/article/pii/S2210670720305291. Acesso em: 27 ago. 2025. DOI: https://doi.org/10.1016/j.scs.2020.102308

RAJU, K. S.; ARUNACHALAM, V.; NAIDU, M. N. Fuzzy cluster analysis and decision-making algorithms for optimal water distribution network design. ISH Journal of Hydraulic Engineering, [s. l.], v. 29, n. 3, p. 341–350, 2023. DOI: https://doi.org/10.1080/09715010.2022.2076573. Disponível em: https://www.tandfonline.com/doi/full/10.1080/09715010.2022.2076573. Acesso em: 11 set. 2025. DOI: https://doi.org/10.1080/09715010.2022.2076573

RETIMA, N. et al.. Application of MCDM methods for the reduction of water losses: case of the city of Annaba (Algeria). Euro-Mediterranean Journal for Environmental Integration, v. 10, p. 4665-4680, 2025. DOI: https://doi.org/10.1007/s41207-025-00760-y. Disponível em: https://link.springer.com/article/10.1007/s41207-025-00760-y. Acesso em: 10 out. 2025. DOI: https://doi.org/10.1007/s41207-025-00760-y

RIYAHI, M. M. et al.. Multi-criteria pressure sensors placement in water distribution networks using fuzzy TOPSIS. Applied Water Science, v. 15, n. 229, p. 1-20, 2025. DOI: https://doi.org/10.1007/s13201-025-02583-2. Acesso em: 02 out. 2025. DOI: https://doi.org/10.1007/s13201-025-02583-2

ROSA, C. R. M.; STEINER, M. T. A.; COLMENERO, J. C. Utilização de processo de análise hierárquica para definição estrutural e operacional de centros de distribuição: uma aplicação a uma empresa do ramo alimentício. Gestão & Produção, v. 22, n. 4, p. 935-950, 2015. DOI: https://doi.org/10.1590/0104-530X986-13. Disponível em: https://www.scielo.br/j/gp/a/DLrvWTZmx8HZPzy6FXZGTTs/abstract/?lang=pt. Acesso em: 23 nov. 2025. DOI: https://doi.org/10.1590/0104-530X986-13

ROY, B. Classement et choix en presence de points de vue multiples. Revue Française d'Informatique et de Recherche Opérationnelle, [s. l.], v. 2, n. 8, p. 57-75, 1968. Disponível em: https://www.numdam.org/article/RO_1968__2_1_57_0.pdf. Acesso em: 09 dez. 2025. DOI: https://doi.org/10.1051/ro/196802V100571

SAATY, T. L. How to make a decision: The Analytic Hierarchy Process. European Journal of Operational Research, Amsterdam, v. 48, n. 1, p. 9-26, 1990. DOI: https://doi.org/10.1016/0377-2217(90)90057-I. Disponível em: https://www.sciencedirect.com/science/article/pii/037722179090057I. Acesso em: Acesso em: 06 ago. 2025. DOI: https://doi.org/10.1016/0377-2217(90)90057-I

SALEHI, S.; JALILI GHAZIZADEH, M.; TABESH, M. A comprehensive criteria-based multi-attribute decision-making model for rehabilitation of water distribution systems. Structure and Infrastructure Engineering, v. 14, n. 6, p. 743-765, ago. 2017. DOI: https://doi.org/10.1080/15732479.2017.1359633. Disponível em: https://www.tandfonline.com/doi/full/10.1080/15732479.2017.1359633. Acesso em: 21 set. 2025. DOI: https://doi.org/10.1080/15732479.2017.1359633

SALEHI, S. et al. A risk component-based model to determine pipes renewal strategies in water distribution networks. Structure and Infrastructure Engineering, v. 17, n. 10, p. 1338-1359, nov. 2020. DOI: https://doi.org/10.1080/15732479.2020.1842466. Disponível em: https://www.tandfonline.com/doi/abs/10.1080/15732479.2020.1842466. Acesso em: 30 out. 2025. DOI: https://doi.org/10.1080/15732479.2020.1842466

SALEHI, S. et al.. A fuzzy group decision-making model for Water Distribution

Network rehabilitation. Urban Water Journal, v. 21, n. 3, p. 364-379, 2024. DOI: https://doi.org/10.1080/1573062X.2023.2295310. Disponível em: https://www.tandfonline.com/doi/abs/10.1080/1573062X.2023.2295310. Acesso em: 13 nov. 2025.

SCHOLTEN, L. et al.. Strategic rehabilitation planning of piped water networks using multi-criteria decision analysis. Water Research, v. 49, p. 124-143, 2014. DOI: DOI: https://doi.org/10.1016/j.watres.2013.11.017

https://doi.org/10.1016/j.watres.2013.11.017. Disponível em: https://www.sciencedirect.com/science/article/pii/S0043135413009287. Acesso em: 01 dez. 2025.

SILVA, F. F. da et al. Elicitation of Criteria Weights for Multicriteria Models: Bibliometrics, Typologies, Characteristics and Applications. Brazilian Journal of Operations & Production Management, [s. l.], v. 18, n. 4, p. 1–28, 2021. DOI: https://doi.org/10.14488/BJOPM.2021.014. Disponível em: https://bjopm.org.br/bjopm/article/view/901. Acesso em: 24 jul. 2025. DOI: https://doi.org/10.14488/BJOPM.2021.014

SIRSANT, S.; REDDY, M. J. Performance-based multi-objective design and expansion of water distribution networks considering life cycle costs and future demands. Water Supply, [s. l.], v. 22, n. 2, p. 1388–1408, 2022. DOI: https://doi.org/10.2166/ws.2021.344. Disponível em: https://iwaponline.com/ws/article/22/2/1388/84601/Performance-based-multi-objective-design-and. Acesso em: 07 set. 2025. DOI: https://doi.org/10.2166/ws.2021.344

SOUZA, J. D. S. et al.. Aplicação do método Promethee II para gestão de perdas reais em sistemas de abastecimento de água. Brazilian Journal of Development, v. 6, n. 1, p. 3553-3566, jan. 2020. DOI: https://doi.org/10.34117/bjdv6n1-255. Disponível em: https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/6315. Acesso em: 15 out. 2025. DOI: https://doi.org/10.34117/bjdv6n1-255

STEFFEN, V.; DE OLIVEIRA, M. S.; TROJAN, F. A Novel Approach for Systematic Literature Reviews Using Multi-Criteria Decision Analysis. Journal of Intelligent Management Decision, [s. l.], v. 3, n. 2, p. 116–138, 2024. DOI: https://doi.org/10.56578/jimd030205. Disponível em: https://www.acadlore.com/article/JIMD/2024_3_2/jimd030205. Acesso em: 28 nov. 2025. DOI: https://doi.org/10.56578/jimd030205

TORNYEVIADZI, H. M. et al.. Nodal vulnerability assessment of water distribution networks: An integrated Fuzzy AHP-TOPSIS approach. International Journal of Critical Infrastructure Protection, v. 34, p. 100434, abr. 2021. DOI: https://doi.org/10.1016/j.ijcip.2021.100434. Acesso em: 10 dez. 2025. DOI: https://doi.org/10.1016/j.ijcip.2021.100434

TSUTIYA, M. T. Abastecimento de Água. 3° Edição. São Paulo: Departamento de Engenharia Hidráulica e Sanitária da Escola Politécnica da Universidade de São Paulo, 2006

VAKILIPOUR, S. et al. Comparison between Multi-Criteria Decision-Making Methods and Evaluating the Quality of Life at Different Spatial Levels. Sustainability, [s. l.], v. 13, n. 7, p. 4067, 2021. DOI: https://doi.org/10.3390/su13074067. Disponível em: https://www.mdpi.com/2071-1050/13/7/4067. Acesso em: 04 jul. 2025. DOI: https://doi.org/10.3390/su13074067

YAZDANI, M.; ALIDOOSTI, A.; ZAVADSKAS, E. K. Risk analysis of critical infrastructures using fuzzy COPRAS. Economic research- Ekonomska istraživanja, v. 24, n. 4, p. 27-40, 2011. DOI: https://doi.org/10.1080/1331677X.2011.11517478. Disponível em: https://www.tandfonline.com/doi/abs/10.1080/1331677X.2011.11517478. Acesso em: 22 ago. 2025. DOI: https://doi.org/10.1080/1331677X.2011.11517478

YAGER, R. R. On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Transactions on Systems, Man, and Cybernetics, [s. l.], v. 18, n. 1, p. 183-190, 1988. DOI: https://doi.org/10.1109/21.87068. Disponível em: https://ieeexplore.ieee.org/document/87068. Acesso em: 13 set. 2025. DOI: https://doi.org/10.1109/21.87068

ZYOUD, S. H.; FUCHS-HANUSCH, D. An Integrated Decision-Making Framework to Appraise Water Losses in Municipal Water Systems. International Journal of Information Technology & Decision Making, v. 19, n. 5, p. 1293-1326, ago. 2020. DOI: https://doi.org/10.1142/S0219622020500297. Disponível em: https://www.worldscientific.com/doi/abs/10.1142/S0219622020500297. Acesso em: 26 out. 2025. DOI: https://doi.org/10.1142/S0219622020500297

ZAVADSKAS, E. K.; KAKLAUSKAS, A.; ŠARKA, V. The new method of multicriteria complex proportional assessment of projects. Technological and Economic Development of Economy, v. 1, n. 3, p. 131-139, 1994. Disponível em: https://cris.vilniustech.lt/cris/entities/publication/ebea2e97-56be-4e0a-9b76-9b09c0e8c859. Acesso em: 05 nov. 2025.

Published

2026-07-13

How to Cite

TEIXEIRA, Júlia Meireles; DOMICIANO, Marcela Leão; OLIVEIRA, Eva Carolline Martins; LEAL, Thomas Leonardo Marques de Castro. Applications of multicriteria methods in supporting decision-making in water distribution networks: a systematic review. Sítio Novo Magazine, Palmas, v. 10, p. e2095, 2026. DOI: 10.47236/2594-7036.2026.v10.2095. Disponível em: https://sitionovo.ifto.edu.br/index.php/sitionovo/article/view/2095. Acesso em: 14 jul. 2026.

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Artigo Científico