Análise da dispersão dos indicadores de desempenho para a tomada de decisão entre duas ferramentas de modelagem fuzzy Analysis of the dispersion of performance indicators for decision making between two fuzzy modeling tools

Abstract

Analyzing data processing methods and ensuring consistent results is hard work for scientists. The optimization of a process makes a difference regardless of the area being worked on. This research used a comparative method of dispersion analysis to evaluate the performance of two fuzzy modeling tools: the Fuzzylite library and the MatLab® Fuzzy Toolbox. The case study was conducted with the School Adventurers application, which uses the Fuzzylite library for fuzzy inferences. The results indicated that Fuzzylite showed superior performance in terms of dispersion of performance indicators.