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MCDA
MCDA R package
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Version
0.1.0
0.0.24
0.0.22
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0.0.20
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0.0.18
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0.0.6
0.0.3
0.0.1
Install
install.packages('MCDA')
Monthly Downloads
865
Version
0.1.0
License
EUPL (>= 1.1)
Issues
2
Pull Requests
0
Stars
29
Forks
8
Repository
https://github.com/paterijk/MCDA
Maintainer
David Palma
Last Published
November 24th, 2023
Functions in MCDA (0.1.0)
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PROMETHEEPreferenceIndices
Preference indices for the PROMETHEE methods
MRSortInferenceExact
Identification of profiles, weights and majority threshold for the MRSort sorting method using an exact approach.
PROMETHEEI
PROMETHEE I
MRSortInterval
MRSort with imprecise evaluations
PROMETHEEOutrankingFlows
Outranking flows for the PROMETHEE methods
MRSort
Electre TRI-like sorting method axiomatized by Bouyssou and Marchant.
MRSortInferenceApprox
Identification of profiles, weights, majority threshold and veto thresholds for MRSort using a genetic algorithm.
PROMETHEEII
PROMETHEE II
MRSortIdentifyUsedVetoProfiles
Identify veto profiles evaluations that have an impact on the final assignments of MRSort
MRSortIdentifyIncompatibleAssignments
Identifies all sets of assignment examples which are incompatible with the MRSort method.
SRMPInferenceNoInconsist
Exact inference of an SRMP model given a maximum number of reference profiles - no inconsistencies
SRMPInferenceApproxFixedProfilesNumber
Approximative inference of an SRMP model given the number of reference profiles
SRMPInferenceNoInconsistFixedLexicographicOrder
Exact inference of an SRMP model given the lexicographic order of the profiles - no inconsistencies
SRMPInferenceNoInconsistFixedProfilesNumber
Exact inference of an SRMP model given the number of reference profiles - no inconsistencies
SRMPInference
Exact inference of an SRMP model given a maximum number of reference profiles
SRMPInferenceApprox
Approximative inference of an SRMP model
SRMPInferenceApproxFixedLexicographicOrder
Approximative inference of an SRMP model given the lexicographic order of the profiles
SRMPInferenceFixedProfilesNumber
Exact inference of an SRMP model given the number of reference profiles
SRMPInferenceFixedLexicographicOrder
Exact inference of an SRMP model given the lexicographic order of the profiles
SRMP
SRMP: a simple ranking method using reference profiles
assignAlternativesToCategoriesByThresholds
Assign alternatives to categories according to thresholds.
VIKOR
VIKOR method
SURE
Simulated Uncertainty Range Evaluations (SURE)
TOPSIS
Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method
UTA
UTA method to elicit value functions.
normalizePerformanceTable
Function to normalize (or rescale) the columns (or criteria) of a performance table.
UTADIS
UTADIS method to elicit value functions in view of sorting alternatives in ordered categories
UTASTAR
UTASTAR method to elicit value functions.
additiveValueFunctionElicitation
Elicitation of a general additive value function.
plotSURE
Plot SURE kernel density plots.
pairwiseConsistencyMeasures
Consistency Measures for Pairwise Comparison Matrices
applyPiecewiseLinearValueFunctionsOnPerformanceTable
Applies value functions on a performance table.
plotMARE
Plot Multi-Attribute Range Evaluations (MARE)
plotPiecewiseLinearValueFunctions
Function to plot piecewise linear value functions.
plotMRSortSortingProblem
Plot the categories and assignments of an Electre TRI-like sorting problem (via separation profiles).
plotRadarPerformanceTable
Function to plot radar plots of alternatives of a performance table.
weightedSum
Weighted sum of evaluations of alternatives.
plotAlternativesValuesPreorder
Function to plot a preorder of alternatives, based on some score or ranking.
LPDMRSortIdentifyUsedDictatorProfiles
Identify dictator profiles evaluations that have an impact on the final assignments of MRSort with large performance differences
AHP
Analytic Hierarchy Process (AHP) method
MARE
Multi-Attribute Range Evaluations (MARE)
ELECTRE3
ELimination Et Choice Translating REality - ELECTRE-III
ELECTREIIIDistillation
ELECTRE III ranking
LPDMRSortIdentifyUsedVetoProfiles
Identify veto profiles evaluations that have an impact on the final assignments of MRSort with large performance differences
LPDMRSort
MRSort that takes into account large performance differences.
LPDMRSortInferenceApprox
Identification of profiles, weights, majority threshold, veto and dictator thresholds for LPDMRSort using a genetic algorithm.
LPDMRSortInferenceExact
Identification of profiles, weights, majority threshold and veto and dictator thresholds for the MRSort sorting approach extended to handle large performance differences.
LPDMRSortIdentifyIncompatibleAssignments
Identifies all sets of assignment examples which are incompatible with the MRSort sorting method extended to handle large performance differences.