Ontology-Based Design of Inductive Modeling Tools

Pidnebesna, Halyna; Stepashko, Volodymyr

doi:10.1109/acit52158.2021.9548121

Cited by 2 publications

(1 citation statement)

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“…An important feature of the inductive approach implementation is the nature of the uncertainty in information data sets (probabilistic, interval, fuzzy), as this approach is based on methods of data analysis. In a number of works [28][29][30], the ontological approach for the construction of the mathematical models within the framework of the inductive approach is based on a group of methods of data handling (GMDH). Within the framework of the proposed approach, the key parameters for the main components of the modeling process are identified, which determine the possibility of generalization and expediency of constructing multifunctional software modules in the development of computer inductive modeling tools based on GMDH [26,31,32].…”

Section: Introductionmentioning

confidence: 99%

Ontology of Mathematical Modeling Based on Interval Data

et al. 2022

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An ontological approach as a tool for managing the processes of constructing mathematical models based on interval data and further use of these models for solving applied problems is proposed in this article. Mathematical models built using interval data analysis are quite effective in many applications, as they have “guaranteed” predictive properties, which are determined by the accuracy of experimental data. However, the application of mathematical modeling methods is complicated by the lack of software tools for the implementation of procedures for constructing this type of mathematical models, creating an ontological model that operates by the categories of the subject area of mathematical modeling, regardless of the modeling object proposed in this article. This approach has made it possible to generate tools for mathematical modeling of various objects based on the interval data analysis for any software development environment selected by the user. The technology of creating the software on the basis of the developed ontological superstructure for mathematical modeling using the interval data for different objects, as well as various forms of user interface implementation, is presented in this article. A number of schemes, which illustrate the technology of using the ontological approach of mathematical modeling based on interval data, are presented, and the features of its interpretation when solving environmental monitoring problems are described.

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