RORUTADIS-PostFactum-InvestigateValueChange Version: 0.3 Provider: PUT
Description: Robust Ordinal Regression for value-based sorting: RORUTADIS-PostFactum-InvestigateValueChange service calculates missing value of an alternative utility for that alternative to be possibly (or ne ...
RORUTADIS-PreferentialReducts Version: 0.1 Provider: PUT
Description: Robust Ordinal Regression for value-based sorting: RORUTADIS-PreferentialReducts service allows to obtain explanation of assignments. It finds all preferential reducts and calculates preferential ...
RORUTADIS-RepresentativeValueFunction Version: 0.3 Provider: PUT
Description: Robust Ordinal Regression for value-based sorting: RORUTADIS-RepresentativeValueFunction service finds representative function. It is possible to provide an additional optional preference informat ...
RORUTADIS-StochasticResults Version: 0.1 Provider: PUT
Description: Calculates stochastic results for alternative assignments, assignment-based preference relation and class cardinalities. The results are computed by sampling the space of compatible models.
RubisConcordanceRelation Version: 1.0 Provider: PyXMCDA
Description: This web service allows to compute a concordance relation as defined in the Rubis methodology.
RubisOutrankingRelation Version: 1.1 Provider: PyXMCDA
Description: This web service allows to compute an outranking relation as defined in the Rubis methodology.
smaa2 Version: 0.2 Provider: jsmaa
Description: JSMAA adapter for DD. Currently implements only SMAA-2 without preference information and only cardinal interval measurements of reals.
sortAlternativesValues Version: 1.0 Provider: ITTB
Description: This web service computes affectations of the alternatives from the given input data (3 inputs: alternatives, alternativesValues and categoriesLimits).
SRF_weights Version: 1.0.0 Provider: PUT
Description: SRFWeights - computes weights of criteria using the revised Simos procedure
SRMPaggregation Version: 1.2 Provider: LJY
Description: Execute the S-RMP model based aggregation process for a series of alternatives with a given set of model parameters and create the ranking list of alternatives.