Rough sets theory in decision analysis

dc.contributor.author	Křupka, Jiří
dc.date.accessioned	2009-03-12T15:58:07Z
dc.date.available	2009-03-12T15:58:07Z
dc.date.issued	2004
dc.identifier	Univerzitní knihovna (studovna)	cze
dc.identifier.issn	1211-555X
dc.identifier.uri	http://hdl.handle.net/10195/32301
dc.description.abstract	This paper presents a possibility of using of the rough sets theory for a reduction of atributes (criteria, data, information) of objects in multi-atributes decision analysis in a public administration system. It is investigated one natural dimension of reducing data which is to identify equivalence classes, i.e. objects that indiscernible using the available attributes, using approximation sets.	eng
dc.format	p. 93-99	eng
dc.format.extent	209887 bytes
dc.format.mimetype	application/pdf
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. 9(2004)	eng
dc.rights	Bez omezení	cze
dc.subject	rozhodovací analýza	cze
dc.subject	teorie systémů	cze
dc.subject	množiny	cze
dc.subject	Modelování	cze
dc.title	Rough sets theory in decision analysis	eng
dc.type	Article	eng
dc.identifier.signature	47940
dc.peerreviewed	yes	eng
dc.publicationstatus	published	eng