bibtype |
J -
Journal Article
|
ARLID |
0310461 |
utime |
20240103190250.1 |
mtime |
20080901235959.9 |
title
(primary) (eng) |
Spatial data uncertainty management |
specification |
|
serial |
ARLID |
cav_un_epca*0297201 |
ISSN |
1682-1750 |
title
|
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
volume |
4 (2008) |
page_num |
209-213 |
publisher |
place |
Beijing |
name |
Institute of Geographic Sciences and natural Research, Chinese Academy of sciens, Beijing, China |
year |
2005 |
|
|
title
(cze) |
Práce s neurčitostí prostorových dat |
keyword |
Knowledge |
keyword |
Classification |
keyword |
Knowledge Management |
keyword |
Contextual Modelling |
keyword |
Temporal Modelling |
keyword |
Decision Support |
author
(primary) |
ARLID |
cav_un_auth*0101129 |
name1 |
Klimešová |
name2 |
Dana |
institution |
UTIA-B |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
cas_special |
research |
CEZ:AV0Z10750506 |
abstract
(eng) |
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. |
abstract
(cze) |
Příspěvek se zabývá neurčitostí prostorových dat |
reportyear |
2009 |
RIV |
IN |
permalink |
http://hdl.handle.net/11104/0162315 |
arlyear |
2008 |
mrcbU63 |
cav_un_epca*0297201 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 1682-1750 B4/37 č. 4 2008 209 213 Beijing Institute of Geographic Sciences and natural Research, Chinese Academy of sciens, Beijing, China 2005 |
|