RESUMOA lógica fuzzy vem sendo aplicada em diversas áreas do conhecimento e nela cada variável possui um conjunto de funções de pertinência representadas em um universo X as quais geralmente exprimem o conjunto de variáveis linguísticas do sistema. Neste trabalho se propõe uma discussão sobre a utilização da lógica fuzzy na aceitação sensorial, a partir da opinião dos provadores quanto ao pão de forma enriquecido com amêndoas e proteínas de faveleira (Cnidosculus phyllacanthus (Mart.) Pax. et K. Hoffm.). Observou-se que o método fuzzy desenvolvido é de fácil utilização e o usuário do sistema só necessita encontrar a curva do centro de gravidade (CG) com maior valor final para indicar a amostra de maior aceitação, podendo utilizar as derivadas das curvas CG no auxílio da detecção da melhor escolha em algumas situações em que lancem dúvida, além de ser utilizado em conjunto com outro método estatístico.
Palavras-chave: faveleira, aceitação global, teste de aceitaçãoFuzzy logic application in sensory analysis of enriched loaf ABSTRACT Fuzzy logic is applied in many areas of knowledge. In this logic every variable has a set of functions, represented in an X universe, which generally expresses a linguistic variables group of the system. This paper proposes a discussion on the use of fuzzy logic in sensory acceptance, from the taster's views of 'faveleira' (Cnidosculus phyllacanthus (Mart.)Pax. et K. Hoffm.) almonds and protein bread. It was observed that the developed controller method is easy to use and system's user only needs to find the curve of the GC with a final higher value to indicate the sample with greater acceptance. The user may use the derived CG curves aiding in the detection of the best choice in some situations, furthermore used in conjunction with other statistical method.
The Intelligent Forecast System (IFS) consists of three units: the main unit is a multilayer neural network1 the second unit is based on fuzzy logic, which is used to prepare the data1 and the third unit is based on a genetic algorithm and is used to determine the best set of data to be analyzed. The data were set up by using a strategy that classifies the terms of the series into parts with the same quantity of elements. Each part is called a window. The IFS was trained by using a group of windows, which is called a set of training windows. Next, the IFS was applied to solve several problems related to the evaluation of structural integrity. The IFS was applied as an identification strategy and forecast of parameters in a flexible structure. Additionally, by using the IFS we have developed a new strategy to analyze the temporary series obtained from vibrations of flexible structures with the distribution of variable mass. The results obtained in this research, using the IFS applied as an identification strategy and forecast of parameters in a flexible structure, show the effectiveness of the IFS.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.