This methods construct object '>FuzzyPairwiseComparisonMatrix based on provided '>PairwiseComparisonMatrix and an optional fuzzy scale.
fuzzyPairwiseComparisonMatrix(pairwiseComparisonMatrix, fuzzyScale,
comparsionNotInScale, width)# S4 method for PairwiseComparisonMatrix
fuzzyPairwiseComparisonMatrix(
pairwiseComparisonMatrix,
fuzzyScale = getFuzzyScale(type = "full"),
comparsionNotInScale = FALSE,
width = 1
)
# S4 method for matrix
fuzzyPairwiseComparisonMatrix(pairwiseComparisonMatrix)
A numeric vector that definies fuzzy scale. Default scale is described in
details. Default value getFuzzyScale(type="full").
A boolean variable. If TRUE the intensities not found in
fuzzyScale are calculated with use of width parameter. Default value
FALSE.
A numeric parameter, specifying the width of calculated fuzzy intensity. If
comparsionNotInScale is FALSE then the parameter is not considered.
Default value 1.
Parameter fuzzyScale is expected as a vector containing n*3 values that represent triangular fuzzy
numbers used as fuzzy intensity of importance (only the values equal or higher than 1, inverse values
are calculated automatically). The values need to be ordered by fuzzy values. Default value of this
parameter is as.double(c(1/2,1,2,1,2,3,2,3,4,3,4,5,4,5,6,5,6,7,6,7,8,7,8,9,8,9,9)). Another
possibility is eg. as.double(c(1/3,1,3,1,3,5,3,5,7,5,7,9,7,9,9))
If param pairwiseComparisonMatrix is matrix then it needs to be of character type.
Each element in the matrix must be specified as triplet "x;y;z", where x<=y<=z.
From this matrix a pairwise comparison is constructed from y values and x and z
function as lower and upper limits of y respectively. In this case the optional parameter
fuzzyScale is not taken into account at all.