Applying Soft Computing in Defining Spatial Relations
General Material Designation
[Book]
First Statement of Responsibility
edited by Pascal Matsakis, Les M. Sztandera.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Heidelberg :
Name of Publisher, Distributor, etc.
Imprint: Physica,
Date of Publication, Distribution, etc.
2002.
SERIES
Series Title
Studies in Fuzziness and Soft Computing,
Volume Designation
106
ISSN of Series
1434-9922 ;
CONTENTS NOTE
Text of Note
H. W. Guesgen: Fuzzifying Spatial Relations -- E. Clementini: Path Composition of Positional Relations Integrating Qualitative and Fuzzy Knowledge -- L. Sztandera: Spatial Relations Based on Dominance of Fuzzy Sets -- I. Bloch: Mathematical Morphology and Spatial Relationships: Quantitative, Semi-Quantitative and Symbolic Settings -- P. Matsakis: Understanding the Spatial Organization of Image Regions by Means of Force Histograms: A Guided Tour -- F. E. Petry et al.: Fuzzy Spatial Relationships and Mobile Agent Technology in Geospatial Information Systems -- V. B. Robinson: Using Fuzzy Spatial Relations to Control Movement Behavior of Mobile Objects in Spatially Explicit Ecological Models -- F. B. Zhan: A Fuzzy Set Model of Approximate Linguistic Terms in Descriptions of Binary Topological Relations Between Simple Regions.
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SUMMARY OR ABSTRACT
Text of Note
Geometric properties and relations play central roles in the description and processing of spatial data. The properties and relations studied by mathematicians usually have precise definitions, but verbal descriptions often involve imprecisely defined concepts such as elongatedness or proximity. The methods used in soft computing provide a framework for formulating and manipulating such concepts. This volume contains eight papers on the soft definition and manipulation of spatial relations and gives a comprehensive summary on the subject.