fuzzynumber {fuzzyOP}R Documentation

Fuzzy numbers

Description

Delta-cuts of the fuzzy numbers are computed and if required the fuzzy numbers are plotted.

Usage

fuzzynumber(anz, A, vektor, pl)

Arguments

anz Number of the delta-cuts.
A Dataset, which must have at least 2 columns.
vektor Vector, that describes which fuzzy numbers from the dataset are selected.
pl Plot-option, either 0 or 1.

Details

For more information about the necessary data format see: test

Only if the plot-option is set to 1, the characterizing functions of the fuzzy numbers are plotted. If the plot-option is set to 0, then no plot is produced.

Value

Output data is of the same type as input data. The returned value is a matrix:
The odd columns contain the x-values and the even columns the values of the characterizing function of the supporting points of the fuzzy numbers.

Author(s)

Semagül Aklan, Emine Altindas, Yi Hong Kang, Rabiye Macit, Senay Umar, Hatice Ünal

References

R. Viertl, D. Hareter: Beschreibung und Analyse unscharfer Information - Statistische Methoden für unscharfe Daten, Springer, Wien, 2006

See Also

fuzzymin, fuzzymax, fuzzydeltacut, fuzzysum, fuzzymean, fuzzyscalar, fuzzyproduct, fuzzypower, fuzzyfunction

Examples

require(fuzzyOP)
##Example 1:
##create data:
a<-c(-1,0,1,NA,NA,NA)
b<-c(0,1,0,NA,NA,NA)
d<-c(1,2,3,4,5,6)
e<-c(0,0.3,1,0.4,0.2,0)
f<-c(1:5,NA)
g<-c(0,0.2,1,0.5,0,NA)
B<-cbind(a,b,d,e,f,g)
##execute:
fuzzynumber(100,B,2,1)

##Example 2:
data(test)
A<-fuzzymin(5,test,c(1,4,8),1)
A

[Package fuzzyOP version 1.1 Index]