tests/testthat/test-MRSortIdentifyIncompatibleAssignments.R

In MCDA: Support for the Multicriteria Decision Aiding Process

# ranking some students (from the article on Integrating Large Performance Differences in MR Sort by Meyer and Olteanu, 2015)

#library(MCDA)

# the performance table

test_that("MRSortInferenceExact works", {
  performanceTable <- rbind(c(10,10,9),c(10,9,10),c(9,10,10),c(9,9,10),c(9,10,9),c(10,9,9),
                            c(10,10,7),c(10,7,10),c(7,10,10),c(9,9,17),c(9,17,9),c(17,9,9),
                            c(7,10,17),c(10,17,7),c(17,7,10),c(7,17,10),c(17,10,7),c(10,7,17),
                            c(7,9,17),c(9,17,7),c(17,7,9),c(7,17,9),c(17,9,7),c(9,7,17))
  rownames(performanceTable) <- c("a1","a2","a3","a4","a5","a6","a7","a8","a9","a10","a11","a12","a13","a14","a15","a16","a17","a18","a19","a20","a21","a22","a23","a24")
  colnames(performanceTable) <- c("c1","c2","c3")
  assignments <-c("P","P","P","F","F","F","F","F","F","P","F","F","F","F","F","F","F","F","F","F","F","F","F","F")
  names(assignments) <- rownames(performanceTable)
  categoriesRanks <-c(1,2)
  names(categoriesRanks) <- c("P","F")
  criteriaMinMax <- c("max","max","max")
  names(criteriaMinMax) <- colnames(performanceTable)
  incompatibleAssignmentsSets <- 
    MRSortIdentifyIncompatibleAssignments(performanceTable, 
                                          assignments, 
                                          categoriesRanks, 
                                          criteriaMinMax, 
                                          veto = TRUE, 
                                          alternativesIDs = c("a1","a2","a3","a4","a5","a6","a7","a8","a9","a10"))
  #print(incompatibleAssignmentsSets)
  filteredAlternativesIDs <- setdiff(c("a1","a2","a3","a4","a5","a6","a7","a8","a9"),incompatibleAssignmentsSets[[1]][1])
  #print(filteredAlternativesIDs)
  x<-MRSortInferenceExact(performanceTable, assignments, categoriesRanks, 
                          criteriaMinMax, veto = TRUE, readableWeights = TRUE, 
                          readableProfiles = TRUE,
                          alternativesIDs = filteredAlternativesIDs)
  #print(x)
  ElectreAssignments<-MRSort(performanceTable, x$profilesPerformances, categoriesRanks,
                             x$weights, criteriaMinMax, x$lambda, criteriaVetos=x$vetoPerformances, alternativesIDs = filteredAlternativesIDs)
  expect_equal(ElectreAssignments, assignments[filteredAlternativesIDs])
})