Model of Evaluation and Selection of Expert Group Members for Smart Cities, Green Transportation and Mobility: From Safe Times to Pandemic Times
This paper presents the development of technologies to support the decision-making of local government executives and smart city concept managers in selecting and evaluating the competencies of new members for advisory groups for solving problems that are implemented in safe times in individual area...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-06-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/9/11/1287 |
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| author | Miroslav Kelemen Volodymyr Polishchuk Beáta Gavurová Róbert Rozenberg Juraj Bartok Ladislav Gaál Martin Gera Martin Kelemen |
| author_facet | Miroslav Kelemen Volodymyr Polishchuk Beáta Gavurová Róbert Rozenberg Juraj Bartok Ladislav Gaál Martin Gera Martin Kelemen |
| author_sort | Miroslav Kelemen |
| collection | DOAJ |
| description | This paper presents the development of technologies to support the decision-making of local government executives and smart city concept managers in selecting and evaluating the competencies of new members for advisory groups for solving problems that are implemented in safe times in individual areas or in crises, such as pandemics. The reason for developing effective urban transformation strategies and for the transparent selection of independent experts (non-politicians) for policymaking, decision-making, and implementation teams is not only the heterogeneity of smart city dimensions together with the necessary complexity and systems approach, but also the nature of the capacities and tools needed for smart city concepts. The innovative hybrid competency assessment model is based on fuzzy logic and a network for neuro-fuzzy assessment. It is a technological model for evaluating the competencies of specialists, taking into account the influence of human factors on the processes of personnel selection and system management. An innovative web platform named “Smart City Concept Personnel Selection” has been designed, which can be adapted to various users of municipalities or regional institutions for the transparent selection of qualified personnel for effective decision-making and the use of public funds during safe times or emergencies, such as the COVID-19 pandemic. |
| first_indexed | 2024-03-10T10:44:45Z |
| format | Article |
| id | doaj.art-4bdcbc424e5645619231bed67548ce99 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T10:44:45Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-4bdcbc424e5645619231bed67548ce992023-11-21T22:41:46ZengMDPI AGMathematics2227-73902021-06-01911128710.3390/math9111287Model of Evaluation and Selection of Expert Group Members for Smart Cities, Green Transportation and Mobility: From Safe Times to Pandemic TimesMiroslav Kelemen0Volodymyr Polishchuk1Beáta Gavurová2Róbert Rozenberg3Juraj Bartok4Ladislav Gaál5Martin Gera6Martin Kelemen7Faculty of Aeronautics, Technical University of Kosice, 041 21 Kosice, SlovakiaFaculty of Information Technologies, Uzhhorod National University, 88000 Uzhhorod, UkraineResearch and Innovation Centre Bioinformatics, USP TECHNICOM, Faculty of Mining, Ecology, Process Control and Geotechnology, Technical University of Košice, 040 01 Kosice, SlovakiaFaculty of Aeronautics, Technical University of Kosice, 041 21 Kosice, SlovakiaMicroStep-MIS, Čavojského 1, 841 04 Bratislava, SlovakiaMicroStep-MIS, Čavojského 1, 841 04 Bratislava, SlovakiaDepartment of Astronomy, Physics of the Earth, and Meteorology, Comenius University in Bratislava, Mlynská dolina, 842 48 Bratislava, SlovakiaFaculty of Aeronautics, Technical University of Kosice, 041 21 Kosice, SlovakiaThis paper presents the development of technologies to support the decision-making of local government executives and smart city concept managers in selecting and evaluating the competencies of new members for advisory groups for solving problems that are implemented in safe times in individual areas or in crises, such as pandemics. The reason for developing effective urban transformation strategies and for the transparent selection of independent experts (non-politicians) for policymaking, decision-making, and implementation teams is not only the heterogeneity of smart city dimensions together with the necessary complexity and systems approach, but also the nature of the capacities and tools needed for smart city concepts. The innovative hybrid competency assessment model is based on fuzzy logic and a network for neuro-fuzzy assessment. It is a technological model for evaluating the competencies of specialists, taking into account the influence of human factors on the processes of personnel selection and system management. An innovative web platform named “Smart City Concept Personnel Selection” has been designed, which can be adapted to various users of municipalities or regional institutions for the transparent selection of qualified personnel for effective decision-making and the use of public funds during safe times or emergencies, such as the COVID-19 pandemic.https://www.mdpi.com/2227-7390/9/11/1287expert groupneuro-fuzzy assessmentevaluation of specialistssmart cityassessment risksmart transport |
| spellingShingle | Miroslav Kelemen Volodymyr Polishchuk Beáta Gavurová Róbert Rozenberg Juraj Bartok Ladislav Gaál Martin Gera Martin Kelemen Model of Evaluation and Selection of Expert Group Members for Smart Cities, Green Transportation and Mobility: From Safe Times to Pandemic Times Mathematics expert group neuro-fuzzy assessment evaluation of specialists smart city assessment risk smart transport |
| title | Model of Evaluation and Selection of Expert Group Members for Smart Cities, Green Transportation and Mobility: From Safe Times to Pandemic Times |
| title_full | Model of Evaluation and Selection of Expert Group Members for Smart Cities, Green Transportation and Mobility: From Safe Times to Pandemic Times |
| title_fullStr | Model of Evaluation and Selection of Expert Group Members for Smart Cities, Green Transportation and Mobility: From Safe Times to Pandemic Times |
| title_full_unstemmed | Model of Evaluation and Selection of Expert Group Members for Smart Cities, Green Transportation and Mobility: From Safe Times to Pandemic Times |
| title_short | Model of Evaluation and Selection of Expert Group Members for Smart Cities, Green Transportation and Mobility: From Safe Times to Pandemic Times |
| title_sort | model of evaluation and selection of expert group members for smart cities green transportation and mobility from safe times to pandemic times |
| topic | expert group neuro-fuzzy assessment evaluation of specialists smart city assessment risk smart transport |
| url | https://www.mdpi.com/2227-7390/9/11/1287 |
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