An information system is generated and the functions of version 2 of rough set library (RSL, ver. 2.0)  are applied, following one of the decision strategies available with the optionstrgy=string.
The choice of the classification strategy, clssfy=string
is necessary to generate a map based on the attributes and the decision rules. Three options are available:Classify1,Classify2,Classify3 each of them is referred to a different algorithm. .
It is possible to get three different output files; two of them are text files, the third is a raster file:
a. text file structured following the standard of the rough set library, having the name registered in the outTXT=string without any additional extension. The file can be used as well with RSL implementation out of GIS environment.
NAME: name of the information system
ATTRIBUTES: 4 (number of attributes)
OBJECTS: 8 (number of objects)
0 0 0 0
1 0 1 1
1 1 0 0
0 2 0 1
1 2 0 1
1 0 0 0
1 2 0 1
0 0 1 1
The number of attributes is the number of raster given as input at attributes=string[,string,...] plus the decision raster (decision=string) located in the last column of the information system, by default.
b. text file, having the name defined in outTXT=string
and the .out, extension. It contains the decision rules extracted from the geographic information system; decision rules are expressed as:
if ... then and they are easy to read and to be interpreted by the user;
c. raster, having the name defined in the field outMAP=string, resulting from the application of the decision rules generated by the geographic information system following one of the classification strategies in clssfy=string. Rules to apply can derive from an information system generated from the data entered in attributes=string and decision=string or from a text file generated from a previous processing stage. In this case the file structure must be as the one reported in box 1.
The module can process CELL raster, and calculations can be made only with integer (int) variables. This is a constraint imposed by the rough set library. The decision rules, therefore, provide only integer information.
Pawlak Z. Rough Sets, International Journal of Information and Computer Science Vol. 11, No. 5, 1982, pp. 344-356.
Pawlak Z. Rough Sets, Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, 1991.
Gawrys M., Sienkiewicz J. Rough Set Library - User's manual (ver. 2.0), September 1993
http://en.wikipedia.org/wiki/Rough_set - “rough set”
r.mcda.fuzzy, r.mcda.electre, r.mcda.regime
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