Nothing
library("Rfmtool")
env<-fm.Init(3)
#prepare some data
dcol<-3
drow<-10
mydata<-matrix(runif(dcol*drow,0,1),drow,dcol)
#generate some lambda fuzzy measure
mymeasure<-fm.ConstructLambdaMeasure(c(0.1,0.1,0.9),env)
# calculate choquet integrals of the data
mych<-apply(mydata,1,function(x) fm.Choquet(x, mymeasure$measure, env))
datafit<-cbind(mydata,mych)
#now fit the measure to the data (we should get back the same fuzzy measure we used as a model)
fittedm<-fm.fitting(datafit,env);
mymeasure
fittedm
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