FIVEDrawConc: Draw the conclusions of FIVE
FIVEDrawConc(output,params)
Where:
output: is the set of the FIVE outputs
output.concl
set the conclusion vector in the output
output.obs
set the obs in the output
output.fis
set the fis in the output
fis.input(i).PASC
save the antecedent scaling points in fis
fis.input(i).ASCF
save the antecedent scaling function in fis
fis.input(i).POSC
save the observation scaling points in fis
(if exists - trimf, trapmf case only), NaN if not exists
fis.input(i).OSCF
save the observation scaling function in fis
(if exists - trimf, trapmf case only), NaN if not exists
fis.input(i).SCF
save the merged scaling function in fis
fis.input(i).U
save the universe in fis
fis.input(i).VE
save the vague environment in fis
fis.output(i).SCF
save the scaling function in fis, NaN if not exists
fis.output(i).U
save the universe in fis, NaN if not exists
fis.output(i).VE
save the vague environment in fis, NaN if not exists
fis.output(i).R;
save the single conclusion rulebase for output(i) in fis
params: is the set of parameters
params.NumOfPoints
size (resolution) of the antecedent, consequent universes
(optional, if not given it is set to 101)
params.ShepardPower
power factor in the Shepard interpolation formula, optional,
if not given, by default it is equal to the antecedent dimensions of the rulebase R
params.NLS
NLS: optional, if not given: linear scaling function approximation
if given: NLS is the constant factor of sensitivity for
neighbouring scaling factor differences in nonlinear scaling function approximation