normalize.credpart {evclust} | R Documentation |
Normalization of a credal partition
Description
normalize.credpart
normalizes a credal partition (a "credpart"
object).
Usage
normalize.credpart(clus, method = "d")
Arguments
clus |
An object of class |
method |
Normalization method ("d" for Dempster or "y" for Yager). |
Details
The function implements two normalization methods: Dempster's normalization (the mass of each focal set is divided by one minus the mass on the empty set), and yager's normalization (the mass of the empty set is transfered to the whole frame).
Value
The normalized credal partition (a "credpart"
object).
References
T. Denoeux and O. Kanjanatarakul. Beyond Fuzzy, Possibilistic and Rough: An Investigation of Belief Functions in Clustering. 8th International conference on soft methods in probability and statistics, Rome, 12-14 September, 2016.
See Also
extractMass
, plot.credpart
, summary.credpart
.
Examples
data(butterfly)
clus<-kevclus(butterfly,c=2)
print(clus$mass)
clus1<-normalize.credpart(clus,"d") # Dempster normalization
print(clus1$mass)
clus2<-normalize.credpart(clus,"y") # Yager normalization
print(clus2$mass)