Lowering of the entropy in decision making by using of modern prediction algorithm

dc.contributor.author	Fraňo, Michal
dc.date.accessioned	2010-04-29T10:59:36Z
dc.date.available	2010-04-29T10:59:36Z
dc.date.issued	2009
dc.identifier	Univerzitní knihovna (studovna)	cze
dc.identifier.issn	1211-555X
dc.identifier.uri	http://hdl.handle.net/10195/35682
dc.description.abstract	Decision making belongs to the key roles of a manager. Decision making is based on informations. Each information contains some amount of entropy. In strategic management the entropy grows with the time horizon that the decision of the manager has to cover. In order to decrease the entropy of information, prognostic algorithms are used. They refine on the information which is used in decision making. The more exact the information is, the higher is the efficiency of the management.	eng
dc.format	p. 36-44	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	confidence intervals	eng
dc.subject	decision making	eng
dc.subject	entropy	eng
dc.subject	estimations	eng
dc.subject	prediction algorithms	eng
dc.title	Lowering of the entropy in decision making by using of modern prediction algorithm	eng
dc.type	Article	eng
dc.identifier.signature	47940-15
dc.peerreviewed	yes	eng
dc.publicationstatus	published	eng