000 03343nam a22004815i 4500
001 978-3-642-14755-5
003 DE-He213
005 20140220084543.0
007 cr nn 008mamaa
008 101001s2010 gw | s |||| 0|eng d
020 _a9783642147555
_9978-3-642-14755-5
024 7 _a10.1007/978-3-642-14755-5
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aJeansoulin, Robert.
_eeditor.
245 1 0 _aMethods for Handling Imperfect Spatial Information
_h[electronic resource] /
_cedited by Robert Jeansoulin, Odile Papini, Henri Prade, Steven Schockaert.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _aXII, 380 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v256
505 0 _aPart 1: Describing spatial congurations -- Part 2 Symbolic reasoning and information merging -- Part 3: Prediction and interpolation.
520 _aSpatial information is pervaded by uncertainty. Indeed, geographical data is often obtained by an imperfect interpretation of remote sensing images, while people attach ill-defined or ambiguous labels to places and their properties. As another example, medical images are often the result of measurements by imprecise sensors (e.g. MRI scans). Moreover, by processing spatial information in real-world applications, additional uncertainty is introduced, e.g. due to the use of interpolation/extrapolation techniques or to conflicts that are detected in an information fusion step. To the best of our knowledge, this book presents the first overview of spatial uncertainty which goes beyond the setting of geographical information systems. Uncertainty issues are especially addressed from a representation and reasoning point of view. In particular, the book consists of 14 chapters, which are clustered around three central topics. The first of these topics is about the uncertainty in meaning of linguistic descriptions of spatial scenes. Second, the issue of reasoning about spatial relations and dealing with inconsistency in information merging is studied. Finally, interpolation and prediction of spatial phenomena are investigated, both at the methodological level and from an application-oriented perspective. The concept of uncertainty by itself is understood in a broad sense, including both quantitative and more qualitative approaches, dealing with variability, epistemic uncertainty, as well as with vagueness of terms.
650 0 _aEngineering.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
700 1 _aPapini, Odile.
_eeditor.
700 1 _aPrade, Henri.
_eeditor.
700 1 _aSchockaert, Steven.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642147548
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v256
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-14755-5
912 _aZDB-2-ENG
999 _c112529
_d112529