explainAssignment: Explain assignment

In rorutadis: Robust Ordinal Regression UTADIS

Description

This function allows to obtain explanation of an alternative assignment to a specific class interval or one class in case if assignment is necessary. The function returns all preferential reducts for an assignment relation.

Usage

explainAssignment(alternative, classInterval, problem)

Arguments

alternative	Index of an alternative.
classInterval	Two-element vector c(l, u) that represents an assignment of alternative to class interval [C_l, C_u] (l <= u).
problem	Problem for which computations will be performed.

Value

List of all preferential reducts for an assignment relation. If the assignment is not influenced by restrictions then empty list will be returned. Each element of the list is a preferential reduct represented as a vector of restriction indices. To identify preferential core use getPreferentialCore. To find out about restrictions by their indices use getRestrictions.

See Also

getPreferentialCore getRestrictions calculateAssignments

Examples

perf <- matrix(c(5, 2, 1, 7, 0.5, 0.9, 0.4, 0.5), ncol = 2)
problem <- buildProblem(perf, 3, FALSE, c('g', 'g'), c(0, 0))
problem <- addAssignmentsLB(problem, c(1, 2), c(2, 3))

possibleAssignments <- calculateAssignments(problem, FALSE)
alternative <- 4
assignment <- c(min(which(possibleAssignments[alternative, ])),
               max(which(possibleAssignments[alternative, ])))

preferentialReducts <- explainAssignment(alternative,
   assignment, problem)
preferentialCore <- getPreferentialCore(preferentialReducts)
coreRestrictions <- getRestrictions(problem, preferentialCore)

rorutadis documentation built on May 2, 2019, 8:51 a.m.