[GRASS-SVN] r42733 - grass-addons/raster/r.fuzzy.system

[svn_grass at osgeo.org]

Author: jarekj71
Date: 2010-07-09 08:28:57 +0000 (Fri, 09 Jul 2010)
New Revision: 42733

Modified:
   grass-addons/raster/r.fuzzy.system/description.html
Log:
new example, description cjhanged due to program changhes

Modified: grass-addons/raster/r.fuzzy.system/description.html
===================================================================
--- grass-addons/raster/r.fuzzy.system/description.html	2010-07-09 08:10:43 UTC (rev 42732)
+++ grass-addons/raster/r.fuzzy.system/description.html	2010-07-09 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.