A fuzzy decision support model for the evaluation and selection of healthcare projects in the framework of competition

Frontiers in Public Health

Public Health

Beata Gavurova¹  Miroslav Kelemen²  Volodymyr Smolanka³  Volodymyr Polishchuk⁴  Tawfik Mudarri⁵ 

[1] Department of Addictology, First Faculty of Medicine, Charles University and General Teaching Hospital in Prague, Prague, Czechia;Department of Flight Training, Faculty of Aeronautics, Technical University of Košice, Košice, Slovakia;Department of Neurology, Neurosurgery and Psychiatry, Faculty of Medicine, Uzhhorod National University, Uzhhorod, Ukraine;Department of Software Systems, Faculty of Information Technology, Uzhhorod National University, Uzhhorod, Ukraine;Technical University of Košice, Faculty of Mining, Ecology, Process Control and Geotechnologies, Košice, Slovakia;

关键词: healthy cities;    projects;    expert evaluation;    fuzzy sets;    European Green Deal;    industry 5.0;    decision-making;   

DOI  :  10.3389/fpubh.2023.1222125

 received in 2023-05-13, accepted in 2023-07-05,  发布年份 2023

来源: Frontiers

【 摘 要 】

Our research aims to support decision-making regarding the financing of healthcare projects by structural funds with policies targeting reduction of the development gap among different regions and countries of the European Union as well as the achievement of economic and social cohesion. A fuzzy decision support model for the evaluation and selection of healthcare projects should rank the project applications for the selected region, accounting for the investor's wishes in the form of a regional coefficient in order to reduce the development gap between regions. On the one hand, our proposed model evaluates project applications based on selected criteria, which may be structured, weakly structured, or unstructured. On the other hand, it also incorporates information on the level of healthcare development in the region. The obtained ranking increases the degree of validity of the decision regarding the selection of projects for financing by investors, considering the level of development of the region where the project will be implemented. At the expense of European Union (EU) structural funds, a village, city, region, or state can receive funds for modernization and development of the healthcare sector and all related processes. To minimize risks, it is necessary to implement adequate support systems for decision-making in the assessment of project applications, as well as regional policy in the region where the project will be implemented. The primary goal of this study was to develop a complex fuzzy decision support model for the evaluation and selection of projects in the field of healthcare with the aim of reducing the development gap between regions. Based on the above description, we formed the following scientific hypothesis for this research: if the project selected for financing can successfully achieve its stated goals and increase the level of development of its region, it should be evaluated positively. This evaluation can be obtained using a complex fuzzy model constructed to account for the region's level of development in terms of the availability and quality of healthcare services in the region where the project will be implemented.

【 授权许可】

Unknown   
Copyright © 2023 Gavurova, Kelemen, Polishchuk, Mudarri and Smolanka.