| Title: | Fuzzy model for estimating the risk of infection by Covid-19 |
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| Authors: | ID Usenik, Janez (Author) |
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| Files: |  Fuzzy_model_for_estimating_Usenik_2020.pdf (557,47 KB)
MD5: 5C181370D4DD03A8B8AA0C33E1616FA0
 https://www.fe.um.si/e-jet/40-2020-1/2522-november-2020.html
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FE - Faculty of Energy Technology
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| Abstract: | The present paper presents a fuzzy model for predicting the risk of a community (country) to being infected by the coronavirus Covid-19. The research is not the medical field, where favourable news about vaccines against this disease is just emerging from the research community. Instead, it presents a relatively simple mathematical model based on the use of fuzzy logic. The model is created as a fuzzy system, in which the basic postulates of fuzzy logic and fuzzy inference are used. The presented model is, of course, only one possibility for describing and predicting the threat to the population due to the Covid-19 disease. |
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| Keywords: | Covid-19, fuzzy variable, fuzzy inference, risk of infections |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 01.11.2020 |
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| Publisher: | Fakulteta za energetiko Univerze v Mariboru |
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| Year of publishing: | 2020 |
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| Number of pages: | Str. 41-54 |
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| Numbering: | Letn. 13, Št. 3 |
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| PID: | 20.500.12556/DKUM-86451  |
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| UDC: | 510.644.4:614.217 |
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| ISSN on article: | 1855-5748 |
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| COBISS.SI-ID: | 48884739 |
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| Publication date in DKUM: | 01.12.2023 |
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| Views: | 580 |
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| Downloads: | 41 |
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| Metadata: |    |
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| Categories: | Misc.
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