Interactive Internet Framework Proposal of WASPAS Method: A Computational Contribution for Decision-Making Analysis

Flavio Barbara, Marcos dos Santos, Antônio Sergio Silva, Miguel Ângelo Lellis Moreira (), Luiz Paulo Fávero, Enderson Luiz Pereira Júnior, Wagner dos Anjos Carvalho, Fernando Martins Muradas, Daniel Augusto de Moura Pereira and Anderson Gonçalves Portella
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Flavio Barbara: School of Economics, University of São Paulo, São Paulo 05508-010, Brazil
Marcos dos Santos: Systems and Computing Department, Military Institute of Engineering, Rio de Janeiro 22290-270, Brazil
Antônio Sergio Silva: School of Economics, University of São Paulo, São Paulo 05508-010, Brazil
Miguel Ângelo Lellis Moreira: Production Engineering Department, Federal Fluminense University, Rio de Janeiro 24210-240, Brazil
Luiz Paulo Fávero: School of Economics, University of São Paulo, São Paulo 05508-010, Brazil
Enderson Luiz Pereira Júnior: Production Engineering Department, Federal Fluminense University, Rio de Janeiro 24210-240, Brazil
Wagner dos Anjos Carvalho: Administration Department, Federal University of Rio de Janeiro, Rio de Janeiro 21941-630, Brazil
Fernando Martins Muradas: Naval Systems Analysis Centre, Operational Research Department, Rio de Janeiro 20091-000, Brazil
Daniel Augusto de Moura Pereira: Production Engineering Department, Federal Fluminense University, Rio de Janeiro 24210-240, Brazil
Anderson Gonçalves Portella: Production Engineering Department, Veiga de Almeida University, Rio de Janeiro 20271-020, Brazil

Mathematics, 2023, vol. 11, issue 15, 1-27

Abstract: Concerning the development of computational tools and solutions as a decision-making aid, this paper presents the results of the waspasWEB project, which strives to provide decision-makers with a readily accessible mechanism to employ the weighted aggregated sum product assessment (WASPAS) method. The social contribution of the project encompasses the development of a user-friendly and publicly accessible internet tool, as well as a package launched on the Comprehensive R Archive Network (CRAN) to serve the community of users of the R language. The use of operational research methodologies is crucial to justify decisions, and this effort seeks to advance the adoption of such methodologies, offering managers, researchers, and the general public an intuitive and easily accessible multi-criteria decision-making tool. In this way, we present the technical specifications, usability, and interactivity of the user with the computational platform, being validated its viability through a hypothetical case study. At the end of the research, it exposes the limitations and feasibility of the proposed computational model along with future research.

Keywords: CRAN; decision theory; operational research; R language; shiny (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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