Ontology of Mathematical Modeling Based on Interval Data

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 applica...

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Main Authors: Mykola Dyvak, Andriy Melnyk, Artur Rot, Marcin Hernes, Andriy Pukas
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2022/8062969
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author Mykola Dyvak
Andriy Melnyk
Artur Rot
Marcin Hernes
Andriy Pukas
author_facet Mykola Dyvak
Andriy Melnyk
Artur Rot
Marcin Hernes
Andriy Pukas
author_sort Mykola Dyvak
collection DOAJ
description 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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institution Kabale University
issn 1099-0526
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publishDate 2022-01-01
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spelling doaj-art-1fc334330fc149179abcf40d09ea90322025-02-03T01:20:19ZengWileyComplexity1099-05262022-01-01202210.1155/2022/8062969Ontology of Mathematical Modeling Based on Interval DataMykola Dyvak0Andriy Melnyk1Artur Rot2Marcin Hernes3Andriy Pukas4Department of Computer ScienceDepartment of Computer ScienceFaculty of ManagementFaculty of ManagementDepartment of Computer ScienceAn 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.http://dx.doi.org/10.1155/2022/8062969
spellingShingle Mykola Dyvak
Andriy Melnyk
Artur Rot
Marcin Hernes
Andriy Pukas
Ontology of Mathematical Modeling Based on Interval Data
Complexity
title Ontology of Mathematical Modeling Based on Interval Data
title_full Ontology of Mathematical Modeling Based on Interval Data
title_fullStr Ontology of Mathematical Modeling Based on Interval Data
title_full_unstemmed Ontology of Mathematical Modeling Based on Interval Data
title_short Ontology of Mathematical Modeling Based on Interval Data
title_sort ontology of mathematical modeling based on interval data
url http://dx.doi.org/10.1155/2022/8062969
work_keys_str_mv AT mykoladyvak ontologyofmathematicalmodelingbasedonintervaldata
AT andriymelnyk ontologyofmathematicalmodelingbasedonintervaldata
AT arturrot ontologyofmathematicalmodelingbasedonintervaldata
AT marcinhernes ontologyofmathematicalmodelingbasedonintervaldata
AT andriypukas ontologyofmathematicalmodelingbasedonintervaldata