Modeling of monitoring processes with uneven and fuzzy observation intervals
Скалозуб Владислав Васильевич, Oleg Murashov · System technologies · 2021
The paper presents the results of applying a separable mathematical model for analyzing fuzzy time series with uneven and fuzzy data sampling intervals. The study of the efficiency of an advanced quantile modeling algorithm is presented. The implementation of models of measurement sequences with fuzzy steps is conducting by applying the approach based on α-levels. The center of weight method was used for scalarization the fuzzy result. A separable model was used for modeling the processes of clinical monitoring of patients with diabetes.