Nothing
# check if the initial value is correct fuzzy number
IsFuzzy <- function(fuzzyNumber,trapezoidal)
{
if(trapezoidal)
{
if((fuzzyNumber[1] <= fuzzyNumber[2]) & (fuzzyNumber[2] <= fuzzyNumber[3]) & (fuzzyNumber[3] <= fuzzyNumber[4]))
{
return(TRUE)
} else {
return(FALSE)
}
} else {
if((fuzzyNumber[1] <= fuzzyNumber[2]) & (fuzzyNumber[2] <= fuzzyNumber[3]))
{
return(TRUE)
} else {
return(FALSE)
}
}
}
# numbers of rows for non-FNs in the matrix
NonFNRowNumbers <- function(fuzzyMatrix)
{
if(ncol(fuzzyMatrix)==3)
{
trapezoidal=FALSE
} else {
trapezoidal=TRUE
}
which(apply(fuzzyMatrix, MARGIN=1, FUN=IsFuzzy, trapezoidal=trapezoidal) == FALSE)
}
# function to check if the parameter is given by the integer
IfInteger <- function(x)
{
if(is.numeric(x))
{
test <- all.equal(x, as.integer(x), check.attributes = FALSE)
if(test == TRUE)
{ return(TRUE) }
else { return(FALSE) }
}
else { return(FALSE) }
}
# A vector containing names of the calculated distance measures between fuzzy numbers.
distanceNames <- c("Euclidean", "AHD", "HSD", "Bertoluzza", "DiffVal", "DiffAmb", "DiffEV", "DiffWidth")
# A vector containing names of the types of the calculated errors.
errorTypes <- c("MAE","WMAE","MSE","WMSE","NRMSE")
# A vector containing names of the types of the calculated statistical measures.
measuresTypes <- c("TrueMean","ImpMean", "AbsDiffTrueImpMean", "GenMean","GenImpMean", "AbsDiffGenImpMean","TrueSD","ImpSD",
"AbsDiffTrueImpSD","GenSD","GenImpSD","AbsDiffGenImpSD")
# A vector containing names of the subsets used in the epistemic tests.
setsNames <- c("true","imputed", "parts")
# A vector containing names of the types of the applied epistemic tests.
testsNames <- c("avs-anti","ms-anti","res-anti")
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