public class FSS98
extends java.lang.Object
ModelFuzzySAP is intended to generate a Fuzzy Rule Based System (FRBS)
regression model using the fuzzy random sets regression algorithm.
This class makes used of the following classes:
RSFSS
: the model to be learned
Detailed in:
L. Sánchez. A Random Sets-Based Method for Identifying Fuzzy Models. Fuzzy Sets
and Systems 98:3 (1998) 343-354.
Constructor and Description |
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FSS98() |
Modifier and Type | Method and Description |
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static void |
fuzzyFSSmodeling(boolean tty,
ProcessConfig pc)
This private static method extracts the dataset and the method's parameters
from the KEEL environment, carries out with the partitioning of the
input and output spaces, learn the FRBS model --which is a
RSFSS instance-- using the random sets regression algorithm and print
out the results with the validation dataset |
static void |
main(java.lang.String[] args)
This public static method runs the algorithm that this class concerns with.
|
public static void fuzzyFSSmodeling(boolean tty, ProcessConfig pc)
This private static method extracts the dataset and the method's parameters
from the KEEL environment, carries out with the partitioning of the
input and output spaces, learn the FRBS model --which is a
RSFSS
instance-- using the random sets regression algorithm and print
out the results with the validation dataset.
*
tty
- unused boolean parameter, kept for compatibilitypc
- ProcessConfig
object to obtain the train and test datasets
and the method's parameters.public static void main(java.lang.String[] args)
This public static method runs the algorithm that this class concerns with.
args
- Array of strings to sent parameters to the main program. The
path of the algorithm's parameters file must be given.