Package: MCDA 0.0.24

Patrick Meyer

MCDA: Support for the Multicriteria Decision Aiding Process

Support for the analyst in a Multicriteria Decision Aiding (MCDA) process with algorithms, preference elicitation and data visualisation functions. Sébastien Bigaret, Richard Hodgett, Patrick Meyer, Tatyana Mironova, Alexandru Olteanu (2017) Supporting the multi-criteria decision aiding process : R and the MCDA package, Euro Journal On Decision Processes, Volume 5, Issue 1 - 4, pages 169 - 194 <doi:10.1007/s40070-017-0064-1>.

Authors:Patrick Meyer, Sébastien Bigaret, Richard Hodgett, Alexandru-Liviu Olteanu

MCDA_0.0.24.tar.gz
MCDA_0.0.24.zip(r-4.5)MCDA_0.0.24.zip(r-4.4)MCDA_0.0.24.zip(r-4.3)
MCDA_0.0.24.tgz(r-4.4-any)MCDA_0.0.24.tgz(r-4.3-any)
MCDA_0.0.24.tar.gz(r-4.5-noble)MCDA_0.0.24.tar.gz(r-4.4-noble)
MCDA_0.0.24.tgz(r-4.4-emscripten)MCDA_0.0.24.tgz(r-4.3-emscripten)
MCDA.pdf |MCDA.html✨
MCDA/json (API)

# Install 'MCDA' in R:

install.packages('MCDA', repos = c('https://paterijk.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/paterijk/mcda/issues

On CRAN:

6.01 score 28 stars 182 scripts 669 downloads 306 mentions 47 exports 36 dependencies

Last updated 2 years agofrom:ff40fd048c. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 24 2024
R-4.5-win	OK	Oct 24 2024
R-4.5-linux	OK	Oct 24 2024
R-4.4-win	OK	Oct 24 2024
R-4.4-mac	OK	Oct 24 2024
R-4.3-win	OK	Oct 24 2024
R-4.3-mac	OK	Oct 24 2024

Exports:additiveValueFunctionElicitation AHP applyPiecewiseLinearValueFunctionsOnPerformanceTable assignAlternativesToCategoriesByThresholds ELECTRE3 ELECTREIIIDistillation LPDMRSort LPDMRSortIdentifyIncompatibleAssignments LPDMRSortIdentifyUsedDictatorProfiles LPDMRSortIdentifyUsedVetoProfiles LPDMRSortInferenceApprox LPDMRSortInferenceExact MARE MRSort MRSortIdentifyIncompatibleAssignments MRSortIdentifyUsedVetoProfiles MRSortInferenceApprox MRSortInferenceExact MRSortInterval normalizePerformanceTable pairwiseConsistencyMeasures plotAlternativesValuesPreorder plotMARE plotMRSortSortingProblem plotPiecewiseLinearValueFunctions plotRadarPerformanceTable plotSURE PROMETHEEI PROMETHEEII PROMETHEEOutrankingFlows PROMETHEEPreferenceIndices SRMP SRMPInference SRMPInferenceApprox SRMPInferenceApproxFixedLexicographicOrder SRMPInferenceApproxFixedProfilesNumber SRMPInferenceFixedLexicographicOrder SRMPInferenceFixedProfilesNumber SRMPInferenceNoInconsist SRMPInferenceNoInconsistFixedLexicographicOrder SRMPInferenceNoInconsistFixedProfilesNumber SURE TOPSIS UTA UTADIS UTASTAR weightedSum

Dependencies:assertthat cli colorspace combinat fansi farver ggplot2 glpkAPI glue gtable isoband labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig plyr R6 RColorBrewer Rcpp Rglpk rlang scales slam tibble triangle utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Elicitation of a general additive value function.	additiveValueFunctionElicitation
Analytic Hierarchy Process (AHP) method	AHP
Applies value functions on a performance table.	applyPiecewiseLinearValueFunctionsOnPerformanceTable
Assign alternatives to categories according to thresholds.	assignAlternativesToCategoriesByThresholds
ELimination Et Choice Translating REality - ELECTRE-III	ELECTRE3
ELECTRE III ranking	ELECTREIIIDistillation
MRSort that takes into account large performance differences.	LPDMRSort
Identifies all sets of assignment examples which are incompatible with the MRSort sorting method extended to handle large performance differences.	LPDMRSortIdentifyIncompatibleAssignments
Identify dictator profiles evaluations that have an impact on the final assignments of MRSort with large performance differences	LPDMRSortIdentifyUsedDictatorProfiles
Identify veto profiles evaluations that have an impact on the final assignments of MRSort with large performance differences	LPDMRSortIdentifyUsedVetoProfiles
Identification of profiles, weights, majority threshold, veto and dictator thresholds for LPDMRSort using a genetic algorithm.	LPDMRSortInferenceApprox
Identification of profiles, weights, majority threshold and veto and dictator thresholds for the MRSort sorting approach extended to handle large performance differences.	LPDMRSortInferenceExact
Multi-Attribute Range Evaluations (MARE)	MARE
Electre TRI-like sorting method axiomatized by Bouyssou and Marchant.	MRSort
Identifies all sets of assignment examples which are incompatible with the MRSort method.	MRSortIdentifyIncompatibleAssignments
Identify veto profiles evaluations that have an impact on the final assignments of MRSort	MRSortIdentifyUsedVetoProfiles
Identification of profiles, weights, majority threshold and veto thresholds for MRSort using a genetic algorithm.	MRSortInferenceApprox
Identification of profiles, weights and majority threshold for the MRSort sorting method using an exact approach.	MRSortInferenceExact
MRSort with imprecise evaluations	MRSortInterval
Function to normalize (or rescale) the columns (or criteria) of a performance table.	normalizePerformanceTable
Consistency Measures for Pairwise Comparison Matrices	pairwiseConsistencyMeasures
Function to plot a preorder of alternatives, based on some score or ranking.	plotAlternativesValuesPreorder
Plot Multi-Attribute Range Evaluations (MARE)	plotMARE
Plot the categories and assignments of an Electre TRI-like sorting problem (via separation profiles).	plotMRSortSortingProblem
Function to plot piecewise linear value functions.	plotPiecewiseLinearValueFunctions
Function to plot radar plots of alternatives of a performance table.	plotRadarPerformanceTable
Plot SURE kernel density plots.	plotSURE
PROMETHEE I	PROMETHEEI
PROMETHEE II	PROMETHEEII
Outranking flows for the PROMETHEE methods	PROMETHEEOutrankingFlows
Preference indices for the PROMETHEE methods	PROMETHEEPreferenceIndices
SRMP: a simple ranking method using reference profiles	SRMP
Exact inference of an SRMP model given a maximum number of reference profiles	SRMPInference
Approximative inference of an SRMP model	SRMPInferenceApprox
Approximative inference of an SRMP model given the lexicographic order of the profiles	SRMPInferenceApproxFixedLexicographicOrder
Approximative inference of an SRMP model given the number of reference profiles	SRMPInferenceApproxFixedProfilesNumber
Exact inference of an SRMP model given the lexicographic order of the profiles	SRMPInferenceFixedLexicographicOrder
Exact inference of an SRMP model given the number of reference profiles	SRMPInferenceFixedProfilesNumber
Exact inference of an SRMP model given a maximum number of reference profiles - no inconsistencies	SRMPInferenceNoInconsist
Exact inference of an SRMP model given the lexicographic order of the profiles - no inconsistencies	SRMPInferenceNoInconsistFixedLexicographicOrder
Exact inference of an SRMP model given the number of reference profiles - no inconsistencies	SRMPInferenceNoInconsistFixedProfilesNumber
Simulated Uncertainty Range Evaluations (SURE)	SURE
Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method	TOPSIS
UTA method to elicit value functions.	UTA
UTADIS method to elicit value functions in view of sorting alternatives in ordered categories	UTADIS
UTASTAR method to elicit value functions.	UTASTAR
Weighted sum of evaluations of alternatives.	weightedSum