Use este identificador para citar o ir al link de este elemento: http://hdl.handle.net/1843/56960
Tipo: Artigo de Periódico
Título: Visualization method for decision-making: a case study in bibliometric analysis
Autor(es): Roozbeh Haghnazar Koochaksaraei
Frederico Gadelha Guimarães
Babak Hamidzadeh
Sarfaraz Hashemkhani Zolfani
Resumen: Data and information visualization have drawn an increasingly wide range of interest from several academic fields and industries. Concurrently, exploring a huge set of data to support feasible decisions needs an organized method of Multi-Criteria Decision Making (MCDM). The dramatic increasing of data producing during the past decade makes visualization necessary as a presentation layer on the top of MCDM process. This study aims to propose an integrated strategy to rank the alternatives in the dataset, by combining data, MCDM methods, and visualization layers. In fact, the well designed combination of Information Visualization and MCDM provides a more user-friendly approach than the traditional methods. We investigate a case study in bibliometric analyses, which have become an important dimension and tool for evaluating the impact and performance of researchers, departments, and universities. Hence, finding the best and most reliable papers, authors, and publishers considering diverse criteria is one of the important challenges in science world. Therefore, this text is presenting a new strategy on the bibliometric dataset as a case study and it demonstrates that this strategy can be more meaningful for the end users than the current tools. Finally, the presented simulations illustrate the performance and utilization of this combination. In other words, the researchers of this study could design and implement a tool that overcomes the biggest challenges of data analyzing and ranking via a combination of MCDM and visualization methodologies that can provide a tremendous amount of insight and information from a massive dataset in an efficient way.
Asunto: Visualização da informação
Decision making
Engenharia elétrica
Bibliometria
Idioma: eng
País: Brasil
Editor: Universidade Federal de Minas Gerais
Sigla da Institución: UFMG
Departamento: ENG - DEPARTAMENTO DE ENGENHARIA ELÉTRICA
ENGENHARIA - ESCOLA DE ENGENHARIA
Tipo de acceso: Acesso Aberto
Identificador DOI: https://doi.org/10.3390/math9090940
URI: http://hdl.handle.net/1843/56960
Fecha del documento: 2021
metadata.dc.url.externa: https://www.mdpi.com/2227-7390/9/9/940
metadata.dc.relation.ispartof: Mathematics
Aparece en las colecciones:Artigo de Periódico

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