Description Usage Arguments Value See Also Examples
The comparison of a pair of alternatives may indicate that a_i should
be assigned to a class at least as good as class of a_j or at least
better by k classes. The function assignmentPairwiseAtLeastComparisons
allows to define such pairwise comparisons.
1 | addAssignmentPairwiseAtLeastComparisons(problem, ...)
|
problem |
Problem to which preference information will be added. |
... |
Comparisons as three-element vectors.
Each vector |
Problem with added comparisons.
buildProblem
removeAssignmentPairwiseAtLeastComparisons
1 2 3 4 5 6 7 8 9 10 11 | # 4 alternatives, 2 gain criteria, 3 classes, monotonously increasing
# and general marginal value functions
perf <- matrix(c(5, 2, 1, 7, 0.5, 0.9, 0.4, 0.4), ncol = 2)
problem <- buildProblem(perf, 3, FALSE, c('g', 'g'), c(0, 0))
# add comparisons:
# alternative 2 to class at least as good as class of alternative 1
# alternative 4 to class at least better by 1 class then class
# of alternative 3
problem <- addAssignmentPairwiseAtLeastComparisons(problem,
c(4, 3, 1), c(2, 1, 0))
|
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