Information Technology Based on Qualitative Methods in Cyber-Physical Systems of Situational Disaster Risk Management
| Autor: | Oleh Hutsa, Igor Grebennik, Anna Morozova, Roksana Petrova, Dmytro Yelchaninov |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | IFIP Advances in Information and Communication Technology ISBN: 9783030814687 ITDRR |
| DOI: | 10.1007/978-3-030-81469-4_11 |
| Popis: | Specialists now make the most of information and communication technologies at all stages of disaster risk management. These technologies, along with the ever-increasing number of Internet of Things devices, can assist in disaster risk reduction or emergency response decisions. At the same time, the existing Cyber-Physical Systems of natural disaster risk management are based on mathematical methods. But mathematical (quantitative) methods have a number of drawbacks, therefore, expert (qualitative) assessments are the only means of solving many control problems due to the ease of use for predicting almost any situation, including in conditions of incomplete information. Research aimed at developing a general methodology for managing disaster response shows that it is possible to view response management as a process and production management problem. Based on this view, process and production management system technology can be used to develop a common framework for a disaster risk management system. A model of situational management of such systems based on qualitative methods is proposed. The model will allow the creation of automatic cyber-physical systems for disaster risk management. At the same time, the proposed model is devoid of the shortcomings of mathematical models and is close to the human way of expressing knowledge. |
| Databáze: | OpenAIRE |
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