AnalyzeTS (version 2.2)

Compare.Cs: Comparing and sort Abbasov-Mamedova models or NFTS models

Description

Comparing and sort Abbasov-Mamedova models or NFTS models according a criterion to evaluate forecasting model (ME, MAE, MPE, MAPE, MSE or RMSE) for C values in Cs.

Usage

Compare.Cs(ts, n = 7, w = 7, D1 = 0, D2 = 0, Cs = NULL, 
type = "Abbasov-Mamedova", complete = NULL)

Arguments

ts

Univariate time series.

n

Number of fuzzy set.

w

The w parameter.

D1,D2

Two proper positive numbers.

Cs

A vector contain C values.

type

Model is choosed to predicts time series by fuzziness, type = "Abbasov-Manedova" or type = "NFTS".

complete

A parameter help connecting from DOC and GDOC functions to Compare.Cs function. User are not allowed to use parameter 'complete'.

Value

Table comparing and sort Abbasov-Mamedova models or FVD models.

Details

Now, this documen are updating.

Examples

#Compering Abbasov-Mamedova models
Compare.Cs(lh,n=5,w=7,Cs=seq(0,1,0.01),type="Abbasov-Mamedova")

#Compering NFTS models
Compare.Cs(lh,n=5,w=7,Cs=seq(0,1,0.01),type="NFTS")