sc_mult: Minkowski scalar multiplication
In SAFD: Statistical Analysis of Fuzzy Data

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

Given an input dataframe (polygonal fuzzy number) X in the correct format (tested by checking), and a scalar b the fuzzy number bX is calculated using level-wise Minkowski scalar multiplication.

1	sc_mult(X, b, pic = 0)

`X`	...dataframe, if checking(X)=1 the product `bX` is returned, if not, NA is returned.
`b`	...numeric
`pic`	...numeric, if `pic`=1 then the product of `X` by the scalar `b` is printed. By default `pic`=0.

See examples

Given correct input data, the function returns the polygonal fuzzy number bX.

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 checking, translator

#Example 1:
U<-data.frame(x=c(-1,0,1),alpha=c(0,1,0))
E<-sc_mult(U,2)
E

#Example 2:
X<-data.frame(x=c(0,1,1,5),alpha=c(0,1,1,0))
sc_prod<-sc_mult(X,1.5)
sc_prod



#Example 3:
data(XX)
X<-translator(XX[[1]],10)
E<-sc_mult(X,-2,pic=1)
E