SRMPInferenceNoInconsistFixedProfilesNumber {MCDA} | R Documentation |
Exact inference of an SRMP model given the number of reference profiles - no inconsistencies
Description
Exact inference approach from pairwise comparisons of alternatives for the SRMP ranking model. This method only outputs a result when an SRMP model consistent with the provided pairwise comparisons exists. The number of reference profiles is fixed and need to be provided. If such a model exists, this method is significantly faster than the one which handles inconsistencies.
Usage
SRMPInferenceNoInconsistFixedProfilesNumber(
performanceTable,
criteriaMinMax,
profilesNumber,
preferencePairs,
indifferencePairs = NULL,
alternativesIDs = NULL,
criteriaIDs = NULL,
timeLimit = NULL
)
Arguments
performanceTable |
Matrix or data frame containing the performance table. Each row corresponds to an alternative, and each column to a criterion. Rows (resp. columns) must be named according to the IDs of the alternatives (resp. criteria). |
criteriaMinMax |
Vector containing the preference direction on each of the criteria. "min" (resp. "max") indicates that the criterion has to be minimized (maximized). The elements are named according to the IDs of the criteria. |
profilesNumber |
A strictly pozitive numerical value which gives the number of reference profiles in the sought SRMP model. |
preferencePairs |
A two column matrix containing on each row a pair of alternative names where the first alternative is considered to be strictly preferred to the second. |
indifferencePairs |
A two column matrix containing on each row a pair of alternative names the two alternatives are considered to indifferent with respect to each other. |
alternativesIDs |
Vector containing IDs of alternatives, according to which the datashould be filtered. |
criteriaIDs |
Vector containing IDs of criteria, according to which the data should be filtered. |
timeLimit |
Allows to fix a time limit of the execution, in seconds. By default NULL (which corresponds to no time limit). |
Value
The function returns a list containing:
criteriaWeights |
The inferred criteria weights. |
referenceProfiles |
The inferred reference profiles. |
lexicographicOrder |
The inferred lexicographic order of the profiles. |
solverStatus |
The solver status as given by glpk. |
humanReadableStatus |
A description of the solver status. |
References
A-L. OLTEANU, V. MOUSSEAU, W. OUERDANE, A. ROLLAND, Y. ZHENG, Preference Elicitation for a Ranking Method based on Multiple Reference Profiles, forthcoming 2018.
Examples
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))
criteriaMinMax <- c("max","max","max")
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")
names(criteriaMinMax) <- colnames(performanceTable)
preferencePairs <- matrix(c("a16","a13","a3","a14","a17","a1","a18","a15","a2","a11","a5",
"a10","a4","a12","a13","a3","a14","a17","a1","a18","a15","a2",
"a11","a5","a10","a4","a12","a6"),14,2)
indifferencePairs <- matrix(c("a3","a1","a2","a11","a11","a20","a10","a10","a19","a12","a12",
"a21","a9","a7","a8","a20","a22","a22","a19","a24","a24","a21",
"a23","a23"),12,2)
result<-SRMPInferenceNoInconsistFixedProfilesNumber(performanceTable, criteriaMinMax, 3,
preferencePairs, indifferencePairs,
alternativesIDs = c("a1","a2","a3","a4",
"a5","a6","a7","a8","a10","a11","a12",
"a14","a16","a17","a18","a19","a20","a21",
"a23","a24"))