0310461 - ÚTIA 2009 RIV CN eng J - Článek v odborném periodiku
Klimešová, Dana
Spatial data uncertainty management.
[Práce s neurčitostí prostorových dat.]
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. B4/37, č. 4 (2008), s. 209-213. ISSN 1682-1750
Výzkumný záměr: CEZ:AV0Z10750506
Klíčová slova: Knowledge * Classification * Knowledge Management * Contextual Modelling * Temporal Modelling * Decision Support
Kód oboru RIV: IN - Informatika

The paper deals with the relations between knowledge management, uncertainty and the context evaluation on the background of the new possibilities of information technologies that can help us to carry out the knowledge management strategies. The paper discusses the problem of wide context including to compensate and decrease the uncertainty of data on one hand and to increase accuracy of classification or segmentation and efficiency of further analytical processes to increase the information value of decision support. The technique of fuzzy measurements and a fuzzy approach in general is addressed also as a way to catch the uncertainties of analytical process (classification, segmentation) and to transmit them to the other processing stages.

Příspěvek se zabývá neurčitostí prostorových dat
Trvalý link: http://hdl.handle.net/11104/0162315