[GRASSSVN] r42733  grassaddons/raster/r.fuzzy.system
svn_grass at osgeo.org
svn_grass at osgeo.org
Fri Jul 9 04:28:57 EDT 2010
Author: jarekj71
Date: 20100709 08:28:57 +0000 (Fri, 09 Jul 2010)
New Revision: 42733
Modified:
grassaddons/raster/r.fuzzy.system/description.html
Log:
new example, description cjhanged due to program changhes
Modified: grassaddons/raster/r.fuzzy.system/description.html
===================================================================
 grassaddons/raster/r.fuzzy.system/description.html 20100709 08:10:43 UTC (rev 42732)
+++ grassaddons/raster/r.fuzzy.system/description.html 20100709 08:28:57 UTC (rev 42733)
@@ 100,7 +100,7 @@
<h2>OUTPUTS</h2>
<DT><b>output</b></DT>
<DD>Map containing deffuzified values. Map is always of type FCELLS and contains values defined in output universe. The output name must be the same as one of maps in maps definition file.
+<DD>Map containing deffuzified values. Map is always of type FCELLS and contains values defined in output universe.
</DD>
<P>
<DT><b>multipe output flag</b></DT>
@@ 131,8 +131,9 @@
x current fuzzy value
A,B,C,D inflection point,
</code></pre>
+<H4>Category information</H4>
+Every cell has a category information showing the membership of result map in any reslut's fuzzy values: for example moderate=0.60, high=0.40 means that cell belongs to moderate class with 0.60 membership and high class with membership = 0.40. The membership is calculated based on _OUTPUT_ definition.

<h2>EXAMPLE</H2>
<P>
Fuzzy sets are sets whose elements have degrees of membership. Zadeh (1965) introduced Fuzzy sets as an extension of the classical notion of set. Classical membership of elements in a set are binary terms: an element either belongs or does not belong to the set. Fuzzy set theory use the gradual membership of elements in a set. A membership function use values in the real unit interval [0, 1]. Classical sets, are special cases of the membership functions of fuzzy sets and only take values 0 or 1. Classical sets are in fuzzy set theory usually called crisp sets. The fuzzy set theory can be used in a wide range of domains in which information is imprecise, such as most of the GIS operations.
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