NValue ( accept, 60) : hasMaxValue (otDesc, 50) : hasBase (otDesc, 1) : hasTendBase (otDesc, five) : hasTendDelta (otDesc, bound) : Ethyl Vanillate Anti-infection hasBound (otDesc, accept) : hasAccept (otDe f , 50) : hasBase (otDe f , 1) : hasTendBaseMathematics 2021, 9,14 ofThe forecast for these conditions show around the Figure 8. This forecast is given as an instance demonstrating the adjust in forecast results as a result of context adjust.Figure eight. Forecast of of the operational time with the division with use of contextual data.The Holt inters time series model doesn’t satisfy restrictions (Equation (14)), although it shows the very best estimate for SMAPE. It wants to select yet another model for time series forecasting. The experiment shows that the context information in time series modeling enables rising the forecasting quality resulting from deciding upon a greater model or a model that matches the decision-maker expectations. 9. Discussion The described benefits show that the time series model can extensively use the concept of an details granule. Time series granulation may be primarily based on model elements, which include tendencies and other people. Nevertheless, an data granule can reflect lots of other attributes of objects within the issue region: expert opinions, understanding and correlation with other object parameters. The chance lies inside the hybridization on the time series analysis methods, considering the context of the problem location. A different most important advantage of your proposed strategy is definitely the explanatory component. Recommender systems based around the proposed principle can, at any time, supply confirmation of your issued conclusion. This can be feasible due to the connection involving the analyzed time series and also the objects from the true world. As an example, during the analysis of your text supplies of the context, it will likely be clear which parameter of which object will be analyzed. The fuzzy models enable develop easy-to-use numerical representations of indicators, or one of the most basic, fuzzy ones. The proposed method at every stage of analytics of the dynamic information may be embedded: descriptive analytics, predictive analytics, and prescriptive analytics. The advantage is the fact that we can analyze a separate indicator and type conclusions regarding the forecast, and vice versa, the usage of predicting and prescription for the behavior of some objects aids to describe other folks. The disadvantages from the proposed method incorporate higher computational complexity, the use of an specialist to type the ontology with the problem region, or the usage of procedures for extracting and studying object information.Mathematics 2021, 9,15 ofTherefore, the objective of further study will likely be an extended analysis of the dynamic data of related objects in context. The activity of sophisticated fuzzy model research would be to contemplate the restrictions on the option of intervals of type-2 fuzzy sets when approximating time series.Author Contributions: Conceptualization, A.A.R.; Information curation, A.A.F.; Formal analysis, V.V.V.; Methodology, N.G.Y.; Visualization, G.G. All authors contributed equally. All authors have study and PF-06873600 Cancer agreed towards the published version from the manuscript. Funding: This study was funded by the Ministry of Science and Larger Education from the Russian Federation in the framework of state activity no. 075-00233-20-05 “Research of intelligent predictive multimodal evaluation of large data, and the extraction of know-how from distinct sources”. This investigation was funded by RFBR plus the government of Ulyanovsk, based on research projects: 18-47-732016, 18-47-73.