A New Approach to Assessing the Accuracy of Forecasting of Emergencies with Environmental Consequences Based on the Theory of Fuzzy Logic
Prevention of the occurrence and development of emergencies of a natural and man-made nature is one of the basic fundamental foundations of ensuring the national security of any state. The most important mechanism for preventing emergencies is an effective system of monitoring and forecasting emerge...
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Format: | Article |
Language: | English |
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Technoscience Publications
2024-12-01
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Series: | Nature Environment and Pollution Technology |
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Online Access: | https://neptjournal.com/upload-images/(54)D-1626.pdf |
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author | Eduard Tshovrebov, Vladimir Moshkov, Irina Oltyan and Filyuz Niyazgulov |
author_facet | Eduard Tshovrebov, Vladimir Moshkov, Irina Oltyan and Filyuz Niyazgulov |
author_sort | Eduard Tshovrebov, Vladimir Moshkov, Irina Oltyan and Filyuz Niyazgulov |
collection | DOAJ |
description | Prevention of the occurrence and development of emergencies of a natural and man-made nature is one of the basic fundamental foundations of ensuring the national security of any state. The most important mechanism for preventing emergencies is an effective system of monitoring and forecasting emergencies established at the state level. In the process of functioning such a system, one of the main urgent problems requiring constant attention, continuous research, system analysis, and the search for solutions by scientific methods and methods is to increase the reliability of emergency forecasts. In this format, special attention is currently being paid worldwide to a comprehensive assessment of the adverse consequences of emergency situations, primarily related to the safety of the population, environmental conservation, and environmental safety. From the standpoint of solving this significant scientific and practical problem, the purpose of this work was to develop and justify a more advanced method for calculating the feasibility of forecasts of emergencies with environmental consequences as a tool for a reasonable detailed assessment of the quality, optimality of emergency forecasting processes and the reliability of the forecasts themselves. |
format | Article |
id | doaj-art-aa762e07fb5943c78d2cc48a3e5bcfaa |
institution | Kabale University |
issn | 0972-6268 2395-3454 |
language | English |
publishDate | 2024-12-01 |
publisher | Technoscience Publications |
record_format | Article |
series | Nature Environment and Pollution Technology |
spelling | doaj-art-aa762e07fb5943c78d2cc48a3e5bcfaa2025-01-20T07:13:36ZengTechnoscience PublicationsNature Environment and Pollution Technology0972-62682395-34542024-12-012342477248110.46488/NEPT.2024.v23i04.054A New Approach to Assessing the Accuracy of Forecasting of Emergencies with Environmental Consequences Based on the Theory of Fuzzy LogicEduard Tshovrebov, Vladimir Moshkov, Irina Oltyan and Filyuz NiyazgulovPrevention of the occurrence and development of emergencies of a natural and man-made nature is one of the basic fundamental foundations of ensuring the national security of any state. The most important mechanism for preventing emergencies is an effective system of monitoring and forecasting emergencies established at the state level. In the process of functioning such a system, one of the main urgent problems requiring constant attention, continuous research, system analysis, and the search for solutions by scientific methods and methods is to increase the reliability of emergency forecasts. In this format, special attention is currently being paid worldwide to a comprehensive assessment of the adverse consequences of emergency situations, primarily related to the safety of the population, environmental conservation, and environmental safety. From the standpoint of solving this significant scientific and practical problem, the purpose of this work was to develop and justify a more advanced method for calculating the feasibility of forecasts of emergencies with environmental consequences as a tool for a reasonable detailed assessment of the quality, optimality of emergency forecasting processes and the reliability of the forecasts themselves.https://neptjournal.com/upload-images/(54)D-1626.pdfforecasting of emergencies, environmental safety, justifiability of the forecast, fuzzy logic |
spellingShingle | Eduard Tshovrebov, Vladimir Moshkov, Irina Oltyan and Filyuz Niyazgulov A New Approach to Assessing the Accuracy of Forecasting of Emergencies with Environmental Consequences Based on the Theory of Fuzzy Logic Nature Environment and Pollution Technology forecasting of emergencies, environmental safety, justifiability of the forecast, fuzzy logic |
title | A New Approach to Assessing the Accuracy of Forecasting of Emergencies with Environmental Consequences Based on the Theory of Fuzzy Logic |
title_full | A New Approach to Assessing the Accuracy of Forecasting of Emergencies with Environmental Consequences Based on the Theory of Fuzzy Logic |
title_fullStr | A New Approach to Assessing the Accuracy of Forecasting of Emergencies with Environmental Consequences Based on the Theory of Fuzzy Logic |
title_full_unstemmed | A New Approach to Assessing the Accuracy of Forecasting of Emergencies with Environmental Consequences Based on the Theory of Fuzzy Logic |
title_short | A New Approach to Assessing the Accuracy of Forecasting of Emergencies with Environmental Consequences Based on the Theory of Fuzzy Logic |
title_sort | new approach to assessing the accuracy of forecasting of emergencies with environmental consequences based on the theory of fuzzy logic |
topic | forecasting of emergencies, environmental safety, justifiability of the forecast, fuzzy logic |
url | https://neptjournal.com/upload-images/(54)D-1626.pdf |
work_keys_str_mv | AT eduardtshovrebovvladimirmoshkovirinaoltyanandfilyuzniyazgulov anewapproachtoassessingtheaccuracyofforecastingofemergencieswithenvironmentalconsequencesbasedonthetheoryoffuzzylogic AT eduardtshovrebovvladimirmoshkovirinaoltyanandfilyuzniyazgulov newapproachtoassessingtheaccuracyofforecastingofemergencieswithenvironmentalconsequencesbasedonthetheoryoffuzzylogic |