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Inicio  /  Algorithms  /  Vol: 16 Par: 5 (2023)  /  Artículo
ARTÍCULO
TITULO

Time Series Analysis by Fuzzy Logic Methods

Sergey M. Agayan    
Dmitriy A. Kamaev    
Shamil R. Bogoutdinov    
Andron O. Aleksanyan and Boris V. Dzeranov    

Resumen

The method of analyzing data known as Discrete Mathematical Analysis (DMA) incorporates fuzzy mathematics and logic. This paper focuses on applying DMA to study the morphology of time series by utilizing the language of fuzzy mathematics. The morphological characteristics of the time series, such as background, slopes, and vertices, are considered fuzzy sets within the domain of its definition. This allows for the use of fuzzy logic in examining the morphology of time series, ultimately leading to the detection of anomalies.

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