FindC2:
Find the best C value for Abbasov Mamedova model
Description
Finding a C value, which is the best for Abbasov Mamedova model.
Usage
FindC2(ts, n = 7, w = 7, D1 = 0, D2 = 0, type = "MAE",
error = 1e-04, trace = 0, MinC.start = 0, MaxC.start = 1000)
Arguments
ts
Observation series.
n
Number of fuzzy set.
w
'w' parameter.
D1
A adequate value.
D2
A adequate value.
trace
Let trace=TRUE to print all of calculation results out to creen.
Let trace=FALSE (default) to only print C and MAE value.
type
A character string specifying the accuracy of Abbasov Mamedova model, must be one of "ME","MAE" (default), "MPE", "MAPE", "MSE", or "RMSE". You can specify just the initial letter.
error
Error of C value from FindC2 function compare the best C value of model. Default error = 0.0001
MinC.start
Min value of C in step first. Default MinC = 0.
MaxC.start
Min value of C in step first. Default MaxC = 1000.