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 time series by utilizing language mathematics. morphological characteristics series, such background, slopes, vertices, are considered sets within domain its definition. allows for use logic in examining ultimately leadin...

In this paper, we develop topological data analysis methods for classification tasks on univariate time series. As an application, perform binary and ternary two public datasets that consist of physiological signals collected under stress non-stress conditions. We accomplish our goal by using persistent homology to engineer stable features after use a delay embedding the subwindowing instead wi...