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Fuzzy Modeling with Spatial Information for Geographic Problems (Paperback, Softcover reprint of hardcover 1st ed. 2005)
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Fuzzy Modeling with Spatial Information for Geographic Problems (Paperback, Softcover reprint of hardcover 1st ed. 2005)
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The capabilities of modern technology are rapidly increasing,
spurred on to a large extent by the tremendous advances in
communications and computing. Automated vehicles and global
wireless connections are some examples of these advances. In order
to take advantage of such enhanced capabilities, our need to model
and manipulate our knowledge of the geophysical world, using
compatible representations, is also rapidly increasing. In response
to this one fundamental issue of great concern in modern
geographical research is how to most effectively capture the
physical world around us in systems like geographical information
systems (GIS). Making this task even more challenging is the fact
that uncertainty plays a pervasive role in the representation,
analysis and use of geospatial information. The types of
uncertainty that appear in geospatial information systems are not
the just simple randomness of observation, as in weather data, but
are manifested in many other forms including imprecision,
incompleteness and granularization. Describing the uncertainty of
the boundaries of deserts and mountains clearly require different
tools than those provided by probability theory. The multiplicity
of modalities of uncertainty appearing in GIS requires a variety of
formalisms to model these uncertainties. In light of this it is
natural that fuzzy set theory has become a topic of intensive
interest in many areas of geographical research and applications
This volume, Fuzzy Modeling with Spatial Information for Geographic
Problems, provides many stimulating examples of advances in
geographical research based on approaches using fuzzy sets and
related technologies.
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