FRIPOC:Fuzzy Rule Interpolation based on POlar Cuts
out=FRIPOC(obs,fis,params)
Calculate the conclusion by the help of Fuzzy Rule Interpolation based
on POlar Cuts
-------------------------------------------------------------------------
Parameters
-------------------------------------------------------------------------
fis - structure describing the fuzzy inference system.
The partitions are normalized.
obs - structure describing the observation corresponding to the
normalized partitions.
params - structure containing information about the parameters of the
method. It should have the
following fields:
InterpolationType 'FRIPOC'
RPtype the type of the reference point. Only
'corecentre' is allowed.
NumOfpCuts the number of polar cuts, it should be an
odd number
SetInterpolationWeight--Type
|-p (in case of Weight type 1
| w=1/d^p)
|-lambda (in case of Weight type 2
w=e^-(lambda*d) )
ConsequentPositionWeight--Type
|-p (in case of Weight type 1
| w=1/d^p)
|-lambda (in case of Weight type 2
w=e^-(lambda*d) )
-------------------------------------------------------------------------
Returned values
-------------------------------------------------------------------------
out - complex structure
out--fis
|-obs
-------------------------------------------------------------------------
Remarks
-------------------------------------------------------------------------
Zsolt Csaba Johanyák, johanyak.csaba@gamf.kefo.hu, v. 1.2, 3. November 2006.