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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Fuzzy model for estimating the risk of infection by Covid-19</dc:title><dc:creator>Usenik,	Janez	(Avtor)
	</dc:creator><dc:subject>Covid-19</dc:subject><dc:subject>fuzzy variable</dc:subject><dc:subject>fuzzy inference</dc:subject><dc:subject>risk of infections</dc:subject><dc:description>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.</dc:description><dc:publisher>Fakulteta za energetiko Univerze v Mariboru</dc:publisher><dc:date>2020</dc:date><dc:date>2023-12-01 15:27:03</dc:date><dc:type>Znanstveno delo</dc:type><dc:identifier>86451</dc:identifier><dc:identifier>UDK: 510.644.4:614.217</dc:identifier><dc:identifier>COBISS_ID: 48884739</dc:identifier><dc:identifier>ISSN pri članku: 1855-5748</dc:identifier><dc:language>sl</dc:language></metadata>
