Sapevo-M: A Group Multicriteria Ordinal Ranking Method

Gomes, Carlos Francısco Sımões; Santos, Marcos dos; Teixeira, Luiz Frederico de Souza de Barros Horácio; Sanseverino, Adriana Manzolillo; Barcelos, Mara Regina dos Santos

doi:10.1590/0101-7438.2020.040.00226524

Cited by 56 publications

(33 citation statements)

References 42 publications

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“…The ELECTRE MOr procedures are developed in two stages. To obtain the weights and evaluate qualitative criteria, the ELECTRE-MOr method uses an adaptation of the SAPEVO method [28,29], transforming ordinal preferences of criteria into a vector of criteria weights and integrating the vector criteria of different DMs.…”

Section: The Electre-mor Methodsmentioning

confidence: 99%

Multicriteria Analysis in Additive Manufacturing: An ELECTRE-MOr Based Approach

Drumond

Basílio

Costa

et al. 2021

Frontiers in Artificial Intelligence and Applications

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3D printing technologies define the essence of Additive Manufacturing and make possible the agile production of customized parts from different materials, with lower unit cost and waste generation. Currently, one of the most widespread 3D printer technologies is the Fused Deposition Modeling (FDM) type, which is the object of this paper. The choice of 3D printing equipment depends on the alignment of the purpose of use and technical knowledge to consider certain requirements. Therefore, this choice can be time-consuming and/or imprecise. In this sense, this work aimed to classify FDM-type 3D printer models by applying the ELECTRE-MOr method, a Multi-criteria Decision Aiding (MCDA) method. As a result, based on a categorization between classes, the FABER 10 alternative was the only one that presented class A performance in all evaluated scenarios, based on criteria defined by the experts consulted in this study.

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Section: The Electre-mor Methodsmentioning

confidence: 99%

Multicriteria Analysis in Additive Manufacturing: An ELECTRE-MOr Based Approach

Drumond

Basílio

Costa

et al. 2021

Frontiers in Artificial Intelligence and Applications

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“…Derived from the SAPEVO-M ordinal method [10], the SAPEVO-M-NC method [11], consists of an ordinal method, non-compensatory nature, which aims at the problem of ordering (Pγ), and with the possibility of acting by multiple decision makers. In the method, the evaluation of the performance of the alternatives is carried out directly, with no need to carry out parity comparisons between the alternatives to obtain the modeling of preferences between them, resulting in a substantial reduction in the cognitive effort on the part of the DMs.…”

Section: The Sapevo-m-nc Methodsmentioning

confidence: 99%

Investments in Times of Pandemics: An Approach by the SAPEVO-M-NC Method

Maêda

Basílio

Costa

et al. 2021

Frontiers in Artificial Intelligence and Applications

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The consequences of the pandemic caused by the new coronavirus in the most diverse sectors of the Brazilian economy, are overwhelming, and its effects are still difficult to measure completely. There are several possible scenarios being considered, such as prolonged depression, “U” or “V” recovery. Due to such volatility, risks and uncertainties, the investor, before investing, must carefully analyze the alternatives available in the market. Given the above, this article aims to propose different ways of distributing a financial portfolio, considering five investment funds, which were evaluated in the light of five criteria, by two investors who work in the financial market. Therefore, the SAPEVO-M-NC multicriteria decision aid method was used to evaluate the alternatives, as well as their composition in the investment portfolios. The adoption of the methodology made it possible to carry out the distribution of the portfolio in a clear and consistent way, showing itself as an efficient practical tool for the proposed approach.

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“…No procedimento de construção das relações de superação, o ELECTRE MOr utiliza uma adaptação do método Simple Aggregation of Preferences Expressed by Ordinal Vectors (SAPEVO) (GOMES et al, 2020) para gerar os pesos. Esta primeira etapa reúne dois passos: Passo 1: a relação está associada à seguinte escala de cinco pontos, variando de -2 a 2, conforme a Tabela 1: Tabela 1 -Relação e escala Fonte: Os autores (2021) Passo 2: essa relação associada a uma escala que permite transformar a matriz Dk = [ij], onde k = tomadores de decisão, em um vetor coluna [vi], de tal forma que (1):…”

Section: Método Electre-morunclassified

Análise Multicritério Para Composição De Portfólio De Cursos De Tecnologia Da Informação: Uma Aplicação Do Método Electre-Mor

Costa¹,

Corriça²,

Pereira³

et al. 2021

Rev. SIMEP

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Este artigo tem por objetivo, mediante aplicação do método ELECTRE-MOr, apoiar o processo estratégico de formação de carteira de cursos de Treinamento e Desenvolvimento, ofertados por uma empresa do setor de treinamentos no Brasil, resultando em uma classificação de diversos cursos, visando apresentar aqueles que devem ser priorizados, mantidos ou descartados pela administração da empresa. Para a realização deste trabalho, foram consultados especialistas na área, que elencaram as alternativas de curso e os critérios a serem utilizados para a modelagem do problema no ELECREW-Mor. Os resultados encontrados mostraram que, dentre dezoito opções de cursos, seis deveriam ser priorizados, onze mantidos e um descartado, apresentando um algoritmo que pode ser aplicado em diversas situações estratégicas de empresas.

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Sapevo-M: A Group Multicriteria Ordinal Ranking Method

Cited by 56 publications

References 42 publications

Multicriteria Analysis in Additive Manufacturing: An ELECTRE-MOr Based Approach

Multicriteria Analysis in Additive Manufacturing: An ELECTRE-MOr Based Approach

Investments in Times of Pandemics: An Approach by the SAPEVO-M-NC Method

Análise Multicritério Para Composição De Portfólio De Cursos De Tecnologia Da Informação: Uma Aplicação Do Método Electre-Mor

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