78 research outputs found

    A novel sorting method topsis-sort: an applicaiton for tehran environmental quality evaluation

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    Many real-life problems are multi-objective by nature that requires evaluation of more than one criterion, therefore MCDM has become an important issue. In recent years, many MCDM methods have been developed; the existing approaches have been improved and extended. Multi criteria decision analysis has been regarded as a suitable set of methods to perform sustainability evaluations. Among numerous MCDM methods developed to solve real-life decision problems, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) continues to work satisfactorily in diverse application areas. In this paper, a novel sorting method (TOPSIS-Sort) based on the classic TOPSIS method is presented. In the TOPSIS-Sort approach an outranking relation is used for sorting purposes. The proposed approach uses characteristic profiles for defining the classes and outranking relation as the preference model. Application of the proposed approach is demonstrated by classifying 22 districts of Tehran into five classes (but none of the districts fits into Classes 4 and 5), representing areas with different levels of environmental quality. An analysis and assessment of the environmental conditions in Tehran helps to identify the districts with the poor environmental quality. Priority should be given to these areas to maintain and improve the quality of environment. The results obtained by the TOPSIS-Sort give credence to its success, because the results of sorting con firm our and specialists’ evaluation of the districts. This research provides appropriate results with respect to the development of sorting models in the form of outranking relations. The model, proposed by this study, is applicable to the other outranking methods such as ELECTRE, PROMETHEE, etc

    Water quality sensor placement: a multi-objective and multi-criteria approach

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    [EN] To satisfy their main goal, namely providing quality water to consumers, water distribution networks (WDNs) need to be suitably monitored. Only well designed and reliable monitoring data enables WDN managers to make sound decisions on their systems. In this belief, water utilities worldwide have invested in monitoring and data acquisition systems. However, good monitoring needs optimal sensor placement and presents a multi-objective problem where cost and quality are conflicting objectives (among others). In this paper, we address the solution to this multi-objective problem by integrating quality simulations using EPANET-MSX, with two optimization techniques. First, multi-objective optimization is used to build a Pareto front of non-dominated solutions relating contamination detection time and detection probability with cost. To assist decision makers with the selection of an optimal solution that provides the best trade-off for their utility, a multi-criteria decision-making technique is then used with a twofold objective: 1) to cluster Pareto solutions according to network sensitivity and entropy as evaluation parameters; and 2) to rank the solutions within each cluster to provide deeper insight into the problem when considering the utility perspectives.The clustering process, which considers features related to water utility needs and available information, helps decision makers select reliable and useful solutions from the Pareto front. Thus, while several works on sensor placement stop at multi-objective optimization, this work goes a step further and provides a reduced and simplified Pareto front where optimal solutions are highlighted. The proposed methodology uses the NSGA-II algorithm to solve the optimization problem, and clustering is performed through ELECTRE TRI. The developed methodology is applied to a very well-known benchmarking WDN, for which the usefulness of the approach is shown. The final results, which correspond to four optimal solution clusters, are useful for decision makers during the planning and development of projects on networks of quality sensors. The obtained clusters exhibit distinctive features, opening ways for a final project to prioritize the most convenient solution, with the assurance of implementing a Pareto-optimal solution.Brentan, B.; Carpitella, S.; Barros, D.; Meirelles, G.; Certa, A.; Izquierdo Sebastián, J. (2021). Water quality sensor placement: a multi-objective and multi-criteria approach. Water Resources Management. 35(1):225-241. https://doi.org/10.1007/s11269-020-02720-3S225241351Barak S, Mokfi T (2019) Evaluation and selection of clustering methods using a hybrid group mcdm. 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Omega 76:100–111Eliades DG, Kyriakou M, Vrachimis S, Polycarpou MM (2016) Epanet-matlab toolkit: An open-source software for interfacing epanet with matlab. In: Proceedings of the 14th international conference on computing and control for the water industry, CCWIFernandez E, Navarro J (2011) A new approach to multi-criteria sorting based on fuzzy outranking relations: the theseus method. Eur J Oper Res 213 (2):405–413Fernández E, Figueira JR, Navarro J, Roy B (2017) Electre tri-nb: a new multiple criteria ordinal classification method. Eur J Oper Res 263 (1):214–224Figueira JR, Greco S, Roy B, Słowiński R (2010) Electre methods: main features and recent developments. In: Handbook of multicriteria analysis. Springer, New York, pp 51–89Figueira JR, Greco S, Roy B, Słowiński R (2013) An overview of electre methods and their recent extensions. J Multi-Criteria Dec Anal 20 (1-2):61–85Francés-Chust J, Brentan BM, Carpitella S, Izquierdo J, Montalvo I (2020) Optimal placement of pressure sensors using fuzzy dematel-based sensor influence. Water 12(2):493Gandy M (2004) Rethinking urban metabolism: water, space and the modern city. City 8(3):363–379Giudicianni C, Herrera M, Di Nardo A, Greco R, Creaco E, Scala A (2020) Topological placement of quality sensors in water-distribution networks without the recourse to hydraulic modeling. J Water Resour Plan Manag 146 (6):04020030Hart WE, Murray R (2010) Review of sensor placement strategies for contamination warning systems in drinking water distribution systems. J Water Resour Plan Manag 136(6):611–619Herrera M, Abraham E, Stoianov I (2016) A graph-theoretic framework for assessing the resilience of sectorised water distribution networks. 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    Wind Energy and Multicriteria Analysis in Making Decisions on the Location of Wind Farms: A Case Study in the North-Eastern of Poland

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    This chapter presents an investigation of different methods of multicriteria analysis and different rules of proceedings that have to be taken into account for making decision about location of a wind farm with application in the north-eastern (NE) Poland. Ten multicriteria analyses were discussed taking into account the main criteria on which they are based on utility functions (MAUT, AHP, and DEMATEL), relationship outranking (ELECTRE, PROMETHEE, and ARROW-RAYNAUD), distances (TOPSIS), and decision support (BORDA ranking methods and their modified and COPELAND). Taking into account of nine criteria that should be met by the location of 15 wind turbines in Krynki and Szudzialowo communities, the main three criteria (C3, C8, and C9) were found to differentiate location of eight wind turbines (T-6–T-13), according to two variants (I and II). The Borda ranking method proved that from among the two variants considered, the more suitable location of wind turbines is second variant W II than first variant W I. Variant W II had a higher altitude of the terrain (C3) and less risk of impact on birds (C8) and bats species (C9) than variant W I

    A Risk Assessment in Natural Gas Supply

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    The purpose of this study is to identify the risk of natural gas supply. There are two modes of delivering the natural gas which are the pipeline system and ships. In view of this, there are risks faced by producer in dealing with the supply of natural gas. The risk can be categorized as market risk, supply risk, and transportation risk. Market risk refers to the risk of macroeconomic, supply risk refers to risk of physical distribution in gas supplies and transportation risk refers to a set of accidental leakage scenarios that happen when the delivering occur

    On Investigation an Assessment of Social Life of Dehdasht City Quarters using ELECTRE Model

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    Capabilities and facilities in urban areas have developed through the past of several years The appearance of these capabilities and facilities has come out through the cost of financial human and environmental Mere attention to physical skeletal and population and ignorance social factors in many of the previous studies has caused the failure of them The purpose of the present study is assessment of the social capacity of Dehdasht city quarters The method of the study is analytical-scale and has been conducted according to documentary and library research The data and information include related features and criteria according to assessment of the capability and capacity of social life in Dehdasht city quarters like identity and place belonging cooperation security dynamicity and vitality variety and social diversity and increasing the density through the model of ELECTRE According to the purpose of the research winch is the assessment and selection of the best quarter four quarters were chosen from different parts of the city The results showed that the old quarters were superior than the other ones and this fact refers to vitality and dynamicity of life as the results of relationship among different neighbors and place belonging residents cooperation in the quarter affairs and social variety in the construction of the old quarters The other places were given to the approximate new middle and new quarters which results from the lack of identity and lack of belonging in relation to the other quarter

    Bibliometric analysis of scientific production on methods to aid decision making in the last 40 years

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    Purpose: Multicriteria methods have gained traction in both academia and industry practices for effective decision-making over the years. This bibliometric study aims to explore and provide an overview of research carried out on multicriteria methods, in its various aspects, over the past forty-four years. Design/Methodology/Approach: The Web of Science (WoS) and Scopus databases were searched for publications from January 1945 to April 29, 2021, on multicriteria methods in titles, abstracts, and keywords. The bibliographic data were analyzed using the R bibliometrix package. Findings: This bibliometric study asserts that 29,050 authors have produced 20,861 documents on the theme of multicriteria methods in 131 countries in the last forty-four years. Scientific production in this area grows at a rate of 13.88 per year. China is the leading country in publications with 14.14%; India with 10.76%; and Iran with 8.09%. Islamic Azad University leads others with 504 publications, followed by the Vilnius Gediminas Technical University with 456 and the National Institute of Technology with 336. As for journals, Expert Systems With Applications; Sustainability; and Journal of Cleaner Production are the leading journals, which account for more than 4.67% of all indexed literature. Furthermore, Zavadskas E. and Wang J have the highest publications in the multicriteria methods domain regarding the authors. Regarding the most commonly used multicriteria decision-making methods, AHP is the most favored approach among the ten countries with the most publications in this research area, followed by TOPSIS, VIKOR, PROMETHEE, and ANP. Practical implications: The bibliometric literature review method allows the researchers to explore the multicriteria research area more extensively than the traditional literature review method. It enables a large dataset of bibliographic records to be systematically analyzed through statistical measures, yielding informative insights. Originality/value: The usefulness of this bibliometric study is summed in presenting an overview of the topic of the multicriteria methods during the previous forty-four years, allowing other academics to use this research as a starting point for their research

    Aplicación del método Electre III en la clasificación de clústeres de artesanías

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    En el presente artículo se muestran los resultados del estudio que busca aplicar el método Electre III para clasificar cuatro aglomerados productivos de micro y pequeñas empresas, localizados en el Estado de Minas Gerais (Brasil), en relación con la capacidad de desarrollar estrategias de supervivencia, por medio de relaciones con proveedores, clientes y distribuidores, competidores y con instituciones públicas y privadas de apoyo. El efecto conjunto de esas variables es lo que define la capacidad que ellas poseen de desarrollar estrategias competitivas. Los resultados permitirán concluir que el agrupamiento de productores de artefactos de desechos de madera es lo que está más articulado en relación con el conjunto de factores de éxito de un aglomerado, seguido por los aglomerados de productos en telares y hierros, que se presentan indiferentes entre sí

    Aplicación del método Electre III en la clasificación de clústeres de artesanías

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    En el presente artículo se muestran los resultados del estudio que busca aplicar el método Electre III para clasificar cuatro aglomerados productivos de micro y pequeñas empresas, localizados en el Estado de Minas Gerais (Brasil), en relación con la capacidad de desarrollar estrategias de supervivencia, por medio de relaciones con proveedores, clientes y distribuidores, competidores y con instituciones públicas y privadas de apoyo. El efecto conjunto de esas variables es lo que define la capacidad que ellas poseen de desarrollar estrategias competitivas. Los resultados permitirán concluir que el agrupamiento de productores de artefactos de desechos de madera es lo que está más articulado en relación con el conjunto de factores de éxito de un aglomerado, seguido por los aglomerados de productos en telares y hierros, que se presentan indiferentes entre sí.This article shows the results from the study that tries to find out the appli-cation of the method Electre III to classify four production clusters of micro and small enterprise, located in Minas Gerais (Brazil), in relation to the ability to develop a survival strategy, through the relationship with the supplier and the customer or distributor, with competitors and public and private support. The combined effect of these variables defines the ability they have to develop competitive strategies. The results showed that the group-ing of producers of wood demolition is what is most articulate in relation to a set of success factors of a cluster, followed by clusters of products and iron looms, which are apparently indifferent to each other
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