translator: Translator
In SAFD: Statistical Analysis of Fuzzy Data

Description Usage Arguments Details Value Note Author(s) See Also Examples

The function first calls checking2 in order to check if the input data X defines a polygonal fuzzy number. If all conditions are satisfied the function transforms the input X into a dataframe with the chosen number nl of levels (default is nl=101) by doing linear interpolation, and returns this dataframe.

1	translator(X, nl = 101, pic = 0)

`X`	...dataframe for which `checking2` yields 1
`nl`	...number of levels of the output dataframe (fuzzy number), by default 101, must be at least 2.
`pic`	...numeric, if `pic`=1 then the poligonal fuzzy number `X` with `nl` alpha-levels is printed. By default `pic`=0.

See examples

In case checking2(X)=1 translator returns a dataframe (fuzzy number) with nl number of alpha-levels, otherwise the input is returned unchanged.

In case you find (almost surely existing) bugs or have recommendations for improving the functions comments are welcome to the above mentioned mail addresses.

Wolfgang Trutschnig <wolfgang@trutschnig.net>, Asun Lubiano <lubiano@uniovi.es>

See Also as checking2, checking

#Example 1:
X<-data.frame(x=c(-2,-0.75,-0.25,0.5,1),alpha=c(0,0.6,1,1,0))
E<-translator(X,3)
E


#Example 2:
data(XX)
E<-translator(XX[[3]],11, pic=1)
E