Analysis of the dispersion of performance indicators for decision making between two fuzzy modeling tools

Authors

DOI:

https://doi.org/10.33448/rsd-v9i9.5531

Keywords:

Dispersion analysis; Standard deviation; Fuzzylite library; Fuzzy inference models

Abstract

Analyzing data processing methods and ensuring consistent results is hard work for scientists, the fact is that the optimization of a process makes a difference regardless of which area is being worked on. There are tools that consolidate studies like this, one of them is the comparative method using dispersion analysis that was used in this research when working with the School Adventurers application, which is one of the objects of study, with which the inferences agent called Fuzzylite was analyzed. The case study was a good option for the research when analyzing the inference methods modeled in the app and making a comparison with the MatLab® Fuzzy Toolbox, so the objective of the present research is to analyze the two mentioned tools and point out which one had the best performance using the same Fuzzy modeling. Through the dispersion analysis it was possible to identify a better result for the model used in Fuzzylite.

Author Biographies

Ítalo Rodrigo Soares Silva, Institute of Technology and Education Galileo of Amazon

Ongoing master's degree in Engineering, Process, Systems and Environmental Management at the Institute of Technology and Education Galileo da Amazônia (ITEGAM). Graduation in Computer Science at Universidade Paulista (UNIP). Computer technician at the Federal Institute of Education, Science and Technology of Amazonas (IFAM).

Paulo Oliveira Siqueira Júnior, Institute of Technology and Education Galileo of Amazon

Ongoing master's degree in Engineering, Process, Systems and Environmental Management at the Institute of Technology and Education Galileo da Amazônia (ITEGAM). Graduation in Computer Science at Universidade Paulista (UNIP).

Ricardo Silva Parente, Institute of Technology and Education Galileo of Amazon

Ongoing master's degree in Engineering, Process, Systems and Environmental Management at the Institute of Technology and Education Galileo da Amazônia (ITEGAM). Graduation in Computer Science at Universidade Paulista (UNIP).

Manoel Henrique Reis Nascimento, Institute of Technology and Education Galileo of Amazon

PhD in Electrical Engineering at the Federal University of Pará (UFPA). Master in Economics at the Catholic University of Brasilia (UCB). Specialization in Information Systems and Web applications at the Center for Analysis, Research and Technological Innovation (FUCAPI). Graduation in Computer Science at the University Center for Higher Education of Amazonas (CIESA). Graduation in Information Systems Administration at the University Center for Higher Education of Amazonas (CIESA).

David Barbosa de Alencar, Institute of Technology and Education Galileo of Amazon

PhD in Electrical Engineering at the Federal University of Pará (UFPA). Master in Electrical Engineering at the Federal University of Pará (UFPA). Specialization in Auditing and Expertise in Civil Works at the Instituto de Ensino Superior Braulo Cardoso de Mattos (FASERRA). Specialization in Structural Calculus at the Instituto de Ensino Superior Braulo Cardoso de Mattos (FASERRA). Specialization in Higher Education Methodology at Nilton Lins University (UNINILTON). Specialization in Quality Engineering at Gama Filho University (IDAAM). Specialization in Occupational Safety Engineering at Gama Filho University (IDAAM). Graduated in Civil Engineering at Nilton Lins University (UNINILTON). Graduated in Production Engineering at the State University of Amazonas (UEA).

Jandecy Cabral Leite, Institute of Technology and Education Galileo of Amazon

PhD in Electrical Engineering at the Federal University of Pará (UFPA). Master in Production Engineering at the Federal University of Santa Catarina (UFSC). Specialization in Higher Mathematics at the Higher Education Society of Nova Iguaçu (SESNI). Graduation in Electrical Production Engineering at the Center for Analysis, Research and Technological Innovation (FUCAPI). Graduation in Mathematics at the Federal University of Rondônia (UNIR).

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11/08/2020

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SILVA, Ítalo R. S.; JÚNIOR, P. O. S.; PARENTE, R. S.; NASCIMENTO, M. H. R.; DE ALENCAR, D. B.; LEITE, J. C. Analysis of the dispersion of performance indicators for decision making between two fuzzy modeling tools. Research, Society and Development, [S. l.], v. 9, n. 9, p. e55995531, 2020. DOI: 10.33448/rsd-v9i9.5531. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/5531. Acesso em: 13 mar. 2025.

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Vol. 9 No. 9

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Exact and Earth Sciences

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Copyright (c) 2020 Ítalo Rodrigo Soares Silva, Paulo Oliveira Siqueira Júnior, Ricardo Silva Parente, Manoel Henrique Reis Nascimento, David Barbosa de Alencar, Jandecy Cabral Leite

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