Air pollution assessment using hierarchical fuzzy inference systems

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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


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