000 04175nam a22005655i 4500
001 978-3-540-26886-4
003 DE-He213
005 20161121230820.0
007 cr nn 008mamaa
008 100301s2005 gw | s |||| 0|eng d
020 _a9783540268864
_9978-3-540-26886-4
024 7 _a10.1007/b138243
_2doi
050 4 _aGA1-1776
072 7 _aRGW
_2bicssc
072 7 _aSCI030000
_2bisacsh
072 7 _aTEC036000
_2bisacsh
082 0 4 _a910.285
_223
245 1 0 _aFuzzy Modeling with Spatial Information for Geographic Problems
_h[electronic resource] /
_cedited by Frederick E. Petry, Vincent B. Robinson, Maria A. Cobb.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2005.
300 _aXII, 338 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aReasoning About Regions, Relations, and Fields -- Fuzzy Reasoning about Geographic Regions -- Combined Extraction of Directional and Topological Relationship Information from 2D Concave Objects -- Field Based Methods for the Modeling of Fuzzy Spatial Data -- Modeling Localities with Fuzzy Sets and GIS -- Fuzzy Classification -- Mining Weather Data Using Fuzzy Cluster Analysis -- Modelling the Fuzzy Spatial Extent of Geographical Entities -- Multi-Dimensional Interpolations with Fuzzy Sets -- Talking Space — A Social & Fuzzy Logical GIS Perspective On Modelling Spatial Dynamics -- A Valuation of the Reliability of a GIS Based on the Fuzzy Logic in a Concrete Case Study -- Fuzzy Representations of Landscape Features -- Fuzziness and Ambiguity in Multi-Scale Analysis of Landscape Morphometry -- Fuzzy Representation of Special Terrain Features Using a Similarity-based Approach -- Decision Making with GIS and Fuzzy Sets -- Spatial Decision-Making Using Fuzzy Decision Tables: Theory, Application and Limitations -- Spatial Decision Making Using Fuzzy GIS -- Spatially Explicit Individual-Based Ecological Modeling with Mobile Fuzzy Agents.
520 _aOver recent years, interest in using fuzzy sets approaches has grown across fields that use spatial information in geographic problems. Not only has there been considerable research on fuzzy sets in GIS that support geographic problem solving, but increasingly the uncertainties inherent in modeling geographic problems are addressed using soft-computing methods. This book focuses on research advances in approaches for incorporating explicit handling of uncertainty, especially by fuzzy sets, to address geographic problems. It has two aims: to stimulate research in the theory and application of fuzzy sets to spatial information management and geographic problem solving; and to highlight advances that have matured so much that geoscientists, computer scientists, geographers, et al. use fuzzy modeling. The book includes examples of the use of fuzzy sets in representational issues such as terrain features, landscape morphology, spatial extents and approaches for spatial interpolation, plus applications using fuzzy sets covering data mining, spatial decision making, ecological simulation, and reliability in GIS.
650 0 _aGeography.
650 0 _aEarth sciences.
650 0 _aGeophysics.
650 0 _aArtificial intelligence.
650 0 _aGeographical information systems.
650 0 _aMathematical logic.
650 0 _aDiscrete mathematics.
650 1 4 _aGeography.
650 2 4 _aGeographical Information Systems/Cartography.
650 2 4 _aMathematical Logic and Foundations.
650 2 4 _aDiscrete Mathematics.
650 2 4 _aEarth Sciences, general.
650 2 4 _aGeophysics/Geodesy.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aPetry, Frederick E.
_eeditor.
700 1 _aRobinson, Vincent B.
_eeditor.
700 1 _aCobb, Maria A.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540237136
856 4 0 _uhttp://dx.doi.org/10.1007/b138243
912 _aZDB-2-EES
950 _aEarth and Environmental Science (Springer-11646)
999 _c504385
_d504385