556 KB28 KB201320252020Usenik, Janezletnik:13številka:iss. 3str. 41-54ISSN:1855-5748COBISSID_HOST:48884739URN:URN:NBN:SI:doc-ICM8D7FFenFakulteta za energetikoJET on-lineJournal of energy technologyCovid-19fuzzy inferencefuzzy variablematematični modelimehka logikamehka spremenljivkamehko sklepanjepredvidevanje ogroženostirisk of infectionsFuzzy 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 diseaseV 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-19TEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaUniverza v Mariboru, Fakulteta za energetiko