Air pollution assessment using hierarchical fuzzy inference systems

dc.contributor.author	Hájek, Petr
dc.contributor.author	Olej, Vladimír
dc.date.accessioned	2010-04-29T11:21:50Z
dc.date.available	2010-04-29T11:21:50Z
dc.date.issued	2009
dc.identifier	Univerzitní knihovna (studovna)	cze
dc.identifier.issn	1211-555X
dc.identifier.uri	http://hdl.handle.net/10195/35684
dc.description.abstract	The paper presents the current state of air pollution assessment. Air pollution is currently realized by air pollution indices and air stress indices. However, these approaches have some limitations which can be eliminated e.g. using systems based on fuzzy logic. Therefore, we design a hierarchical fuzzy inference system for air pollution assessment using data from Pardubice micro region.	eng
dc.format	p. 52-61	eng
dc.language.iso	eng
dc.publisher	Univerzita Pardubice	cze
dc.relation.ispartof	Scientific papers of the University of Pardubice. Series D, Faculty of Economics and Administration. 15 (2009)	eng
dc.rights	Bez omezení	cze
dc.subject	air pollution	eng
dc.subject	air quality	eng
dc.subject	fuzzy logic	eng
dc.subject	hierarchical fuzzy inference systems	eng
dc.title	Air pollution assessment using hierarchical fuzzy inference systems	eng
dc.type	Article	eng
dc.identifier.signature	47940-15
dc.peerreviewed	yes	eng
dc.publicationstatus	published	eng