20.500.12556/DKUM-86451 Fuzzy model for estimating the risk of infection by Covid-19 Mehki model napovedi ogroženosti z boleznijo Covid-19 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. V članku je predstavljen mehki model napovedi ogroženosti prebivalcev neke skupnosti (države) z boleznijo Covid-19. Raziskava se ne spušča na medicinski področje, kjer se v svetovni raziskovalni skupnosti ravnokar pojavljajo ugodne vesti o cepivu proti tej bolezni. Raziskava predstavlja relativno preprost matematični model, ki temelji na uporabi mehke logike. Model je kreiran kot mehki sistem, kjer uporabljamo osnovne postulate mehkega sklepanja. Predstavljeni model je seveda le ena od možnosti opisovanja in predvidevanja ogroženosti prebivalcev zaradi bolezni Covid-19. Covid-19 fuzzy variable fuzzy inference risk of infections Covid-19 mehka spremenljivka mehka logika matematični modeli mehko sklepanje predvidevanje ogroženosti true false true Fakulteta za energetiko Univerze v Mariboru Angleški jezik Slovenski jezik Znanstveno delo 2023-12-01 15:27:03 2023-12-01 15:30:12 2023-12-02 03:10:08 0000-00-00 00:00:00 2020 0 0 Str. 41-54 Št. 3 Letn. 13 nov. 2020 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2020-11-01 510.644.4:614.217 48884739 1855-5748 Fuzzy_model_for_estimating_Usenik_2020.pdf Fuzzy_model_for_estimating_Usenik_2020.pdf 1 5C181370D4DD03A8B8AA0C33E1616FA0 223887bc99449b09c65c2840b06273f96110c8045e6e304d13acf690bc963731 09a0bee2-9056-11ee-bc08-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=174511 https://www.fe.um.si/e-jet/40-2020-1/2522-november-2020.html 0 169d51b8-9056-11ee-bc08-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=174512 Fakulteta za energetiko Journal of energy technology 0 0 0