Description Usage Arguments Value References Examples
This function computes the Probabilities of each alternative minimizing the preference per criterion, using Beta PERT distributions to randomize the decision matrix.
1 | PMin.Beta(x, s)
|
x |
Decision matrix of Alternatives (rows) and Criteria (columns). Benefit criteria must be positive and cost criteria must be negative. |
s |
Shape of a Beta PERT distribution, as described in the package 'mc2d'. There is no default value, however the higher the shape the higher the kurtosis, which emulates the precision of data. |
PMin are the joint probabilities of each alternative being lower than the others, per criterion.
Sant'Anna, Annibal P. (2015). Probabilistic Composition of Preferences: Theory and Applications, Springer.
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