Modeling the assessment of a region’s innovative potential
The paper is devoted to the design and modeling of the system for assessing a region’s innovative potential to justify management decisions in public authorities. The purpose of the study is to substantiate the feasibility of using digital tools and artificial intelligence to formalize and visualize...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2023-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/40/e3sconf_escp2023_08021.pdf |
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author | Milekhina Olga Adova Irina Ibragimov Garib |
author_facet | Milekhina Olga Adova Irina Ibragimov Garib |
author_sort | Milekhina Olga |
collection | DOAJ |
description | The paper is devoted to the design and modeling of the system for assessing a region’s innovative potential to justify management decisions in public authorities. The purpose of the study is to substantiate the feasibility of using digital tools and artificial intelligence to formalize and visualize the assessment results. The use of a multi-criteria system for assessing the level of a region’s development, which includes four areas, characterized by 46 indicators, is difficult to interpret to justify management decisions. Based on the theory of fuzzy logic, logical programming methods focused on the application of a system of facts and rules, formal knowledge representation languages for describing subject areas and methodology for developing expert systems for complex problem solving, taking into account the empirical knowledge of experts, a model for assessing the innovative potential of a region is proposed. A case study of one of the Russian regions is illustrated by graphs of 3D visualization of the optimal combination of parameters of the level of innovative development. The formed triad of sustainable and safe development makes it possible to display the behavior of the regional innovation development index as a whole on the basis of social, economic and environmental indicators of sustainability. |
first_indexed | 2024-03-12T17:58:20Z |
format | Article |
id | doaj.art-55703fe320ea446eb89731cce70e22ba |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-03-12T17:58:20Z |
publishDate | 2023-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj.art-55703fe320ea446eb89731cce70e22ba2023-08-02T13:16:27ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014030802110.1051/e3sconf/202340308021e3sconf_escp2023_08021Modeling the assessment of a region’s innovative potentialMilekhina Olga0Adova Irina1Ibragimov Garib2Novosibirsk State Technical UniversityNovosibirsk State University of Economics and ManagementNovosibirsk State University of Economics and ManagementThe paper is devoted to the design and modeling of the system for assessing a region’s innovative potential to justify management decisions in public authorities. The purpose of the study is to substantiate the feasibility of using digital tools and artificial intelligence to formalize and visualize the assessment results. The use of a multi-criteria system for assessing the level of a region’s development, which includes four areas, characterized by 46 indicators, is difficult to interpret to justify management decisions. Based on the theory of fuzzy logic, logical programming methods focused on the application of a system of facts and rules, formal knowledge representation languages for describing subject areas and methodology for developing expert systems for complex problem solving, taking into account the empirical knowledge of experts, a model for assessing the innovative potential of a region is proposed. A case study of one of the Russian regions is illustrated by graphs of 3D visualization of the optimal combination of parameters of the level of innovative development. The formed triad of sustainable and safe development makes it possible to display the behavior of the regional innovation development index as a whole on the basis of social, economic and environmental indicators of sustainability.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/40/e3sconf_escp2023_08021.pdf |
spellingShingle | Milekhina Olga Adova Irina Ibragimov Garib Modeling the assessment of a region’s innovative potential E3S Web of Conferences |
title | Modeling the assessment of a region’s innovative potential |
title_full | Modeling the assessment of a region’s innovative potential |
title_fullStr | Modeling the assessment of a region’s innovative potential |
title_full_unstemmed | Modeling the assessment of a region’s innovative potential |
title_short | Modeling the assessment of a region’s innovative potential |
title_sort | modeling the assessment of a region s innovative potential |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/40/e3sconf_escp2023_08021.pdf |
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