Tasks` analysis of the intelligent system for conducting project competitions

Practical experience with project competitions shows that this is a complex multidimensional task. Competitions are usually characterised by a whole range of features that significantly affect their rules and technology, criteria and forms of evaluation. Objective evaluation of projects requires the involvement of a wide range of experts, which is not always possible. The use of artificial intelligence by humans is a key factor in achieving optimal results in many industries, from business to science and technology. The article is devoted to the problems of building an intelligent decision-making system for project competitions for a wide class of practical problem areas. The article provides an overview of scientific works in this area. The analysis of scientific publications has shown that there are several modes of application of artificial intelligence technologies in human activity, which determine the degree of its use. Based on the practical experience of developing and implementing intelligent systems gained by the authors of this paper, the main problems arising in the process of processing intelligent data are summarised, a number of tasks are identified, and solution schemes are proposed. The stages of competitions that require support by means of an intelligent decision support system are considered in detail. The authors provide a list of tasks that should be formalised in further research, algorithmised, and software should be created to support them. The authors classify these tasks to be solved when creating a system of intellectual support for project competitions. The authors propose to use a scheme of sequential analysis of the options for a set of projects at the stage of preliminary analysis for formal selection of projects. The set of tasks formed by the authors is a prerequisite for further formalisation and development of a mathematical model of the decision-making support task in organising and conducting project competitions The proposed system will ensure a significant increase in the efficiency and objectivity of project competitions.

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Publication Details

Journal
Management of Development of Complex Systems
Published
2024-11-29
DOI
https://doi.org/10.32347/2412-9933.2024.60.113-120
Primary Topic
Intuitionistic Fuzzy Systems Applications
Type
article
Field-Weighted Citation Impact
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article

Tasks` analysis of the intelligent system for conducting project competitions

Iryna Domanetska, Hryhorii Hnatiienko, Oleksii Hnatiienko, Yaroslav Khrolenko
Management of Development of Complex Systems
Intuitionistic Fuzzy Systems Applications
article

Tasks` analysis of the intelligent system for conducting project competitions

Iryna Domanetska, Hryhorii Hnatiienko, Oleksii Hnatiienko, Yaroslav Khrolenko
article en

Abstract

Practical experience with project competitions shows that this is a complex multidimensional task. Competitions are usually characterised by a whole range of features that significantly affect their rules and technology, criteria and forms of evaluation. Objective evaluation of projects requires the involvement of a wide range of experts, which is not always possible. The use of artificial intelligence by humans is a key factor in achieving optimal results in many industries, from business to science and technology. The article is devoted to the problems of building an intelligent decision-making system for project competitions for a wide class of practical problem areas. The article provides an overview of scientific works in this area. The analysis of scientific publications has shown that there are several modes of application of artificial intelligence technologies in human activity, which determine the degree of its use. Based on the practical experience of developing and implementing intelligent systems gained by the authors of this paper, the main problems arising in the process of processing intelligent data are summarised, a number of tasks are identified, and solution schemes are proposed. The stages of competitions that require support by means of an intelligent decision support system are considered in detail. The authors provide a list of tasks that should be formalised in further research, algorithmised, and software should be created to support them. The authors classify these tasks to be solved when creating a system of intellectual support for project competitions. The authors propose to use a scheme of sequential analysis of the options for a set of projects at the stage of preliminary analysis for formal selection of projects. The set of tasks formed by the authors is a prerequisite for further formalisation and development of a mathematical model of the decision-making support task in organising and conducting project competitions The proposed system will ensure a significant increase in the efficiency and objectivity of project competitions.

Management of Development of Complex Systems(60)
Taras Shevchenko National University of Kyiv (UA)
Openalex Percentile: Top 75%
Intuitionistic Fuzzy Systems Applications
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