List of available XMCDA v2 web services

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A B C D E F G H I L M N O P R S T U V W X

surrogateWeights Version: 1.0.0 Provider: PUT

Description: SurrogateWeights - computes weights of criteria using ranking specified by user. Module allows to choose one of four methods.


thresholdsSensitivityAnalysis Version: 1.0.0 Provider: PyXMCDA

Description: This web service allows to compute intervals of stability on indifference and preference thresholds defined on a set of criteria. Under each interval, a threshold is free to move without impacting ...


TOPSIS_extremeAlternatives Version: 1.0.0 Provider: PUT

Description: Computes positive and negative ideal alternatives from given alternatives.


TOPSIS_normalizationAndWeighting Version: 1.0.0 Provider: PUT

Description: Computes normalized and weighted performance for each alternative.


TOPSIS_ranking Version: 1.0.0 Provider: PUT

Description: Computes ranking by distance ratio (nDist/(nDist+pDist) to ideal alternatives


transitiveReductionAlternativesComparisons Version: 1.0 Provider: ITTB

Description: This web service applies a transitive reduction on the relation relative to comparisons of the alternatives. It generates a file containing the alternativesComparisons tag after processing.


transitiveReductionCriteriaComparisons Version: 1.0 Provider: ITTB

Description: This web service applies a transitive reduction on the relation relative to comparisons of the criteria. It generates a file containing the criteriaComparisons tag after processing.


ULOWA Version: 1.1 Provider: URV

Description: This module implements the ULOWA aggregation operator: Unbalanced Linguistic Ordered Weighted Average. Aggregation operators for linguistic variables usually assume uniform and symmetrical distrib ...


UTA Version: 1.0 Provider: ITTB

Description: Computes UTA method and if necessary uses post-optimality analysis.


UTASTAR Version: 1.1 Provider: UTAR

Description: Computes UTASTAR method and if necessary uses post-optimality analysis among three well-known post-optimality methods