cutRelationCrisp Version: 0.1.0 Provider: PUT
Description: cutRelationCrisp - this module applies cut threshold to the credibility matrix provided as input, which may result from comparison between pairs of alternatives or alternatives and profiles (bound ...
DEACCRCrossEfficiency Version: 1.0 Provider: PUT
Description: Computes cross efficiency scores for the given DMUs (alternatives) using CCR Data Envelopment Analysis Model.
DEACCREfficiency Version: 1.0 Provider: PUT
Description: Computes efficiency scores for the given DMUs (alternatives) using CCR Data Envelopment Analysis Model.
DEACCREfficiencyBounds Version: 1.0 Provider: PUT
Description: Computes efficiency bounds scores for the given DMUs (alternatives) using CCR Data Envelopment Analysis Model.
DEACCRExtremeRanks Version: 1.0 Provider: PUT
Description: Determines ranking intervals for the given DMUs (alternatives) using CCR Data Envelopment Analysis Model.
DEACCRPreferenceRelations Version: 1.0 Provider: PUT
Description: Determines necessary and possible dominance relations for the given DMUs (alternatives) using CCR Data Envelopment Analysis Model.
DEACCRSuperEfficiency Version: 1.0 Provider: PUT
Description: Computes super-efficiency scores for the given DMUs (alternatives) using CCR Data Envelopment Analysis Model.
DEASMAACCREfficiencies Version: 1.0 Provider: PUT
Description: Computes efficiency scores for the given DMUs (alternatives) using SMAA-D method and CCR Data Envelopment Analysis Model. For given number of buckets and samples, returns a matrix with alternative ...
DEASMAACCRPreferenceRelations Version: 1.0 Provider: PUT
Description: Determines dominance relations for the given DMUs (alternatives) using SMAA-D method and CCR Data Envelopment Analysis Model. For given number of samples returns a matrix with alternatives in eac ...
DEASMAACCRRanks Version: 1.0 Provider: PUT
Description: Computes rankings for the given DMUs (alternatives) using SMAA-D method and CCR Data Envelopment Analysis Model. For given number of samples returns a matrix with alternatives in each row and ran ...