AnalyzeTS (version 2.0)

FindC3: Find the best C value for Improve Abbasov Mamedova version 1 model

Description

Finding a C value, which is the best for Improve Abbasov Mamedova version 1 models.

Usage

FindC3(ts, n = 7, w = 7, D1 = 0, D2 = 0, fty = c("ts", "f"), error = 1e-04,
trace = 0, MinC.start = 0, MaxC.start = 1000, type = "MAE")

Arguments

ts

Observation series.

n

Number of fuzzy set.

w

'w' parameter.

D1

A adequate value.

D2

A adequate value.

fty

fty="f", N(length(ts)) = N(length(ts)-1) + V(length(ts)+1).

fty="ts", N(length(ts)) = ts(length(ts)) + V(length(ts)+1).

trace

Let trace=TRUE to print all of calculation results out to creen. Let trace=FALSE (default) to only print C and MAE value.

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

Max value of C in step first. Default MaxC = 1000.

type

A character string specifying the accuracy of Improve Abbasov Mamedova version 1 model, must be one of "ME","MAE" (default), "MPE", "MAPE", "MSE", or "RMSE". You can specify just the initial letter.

Value

The best C values.

Details

Now, this documen are updating.

See Also

FindC2,Abbasov.Cs3,Abbasov.Cs2

Examples

#FindC3(lh,n=7,w=7,D1=0,D2=0,fty="ts",MaxC=1000000,trace=0,error=0.0001)
#FindC3(lh,n=7,w=7,D1=0,D2=0,fty="f",MaxC=1000000,trace=1,error=0.0001)