Computes rankings for the given DMUs (alternatives) using SMAA-D method and additive Data Envelopment Analysis Model. For given number of samples returns a matrix with alternatives in each row and rankings in each column. Single cell indicates how many samples of respective alternative gave respective position in ranking. Gouveia M. C., Dias L. C., Antunes C. H., Additive DEA based on MCDA with imprecise information (2008). Lahdelma R., Salminen P., Stochastic multicriteria acceptability analysis using the data envelopment model (2004). A list of criteria with specified preference direction. List has to contains at least one criterion that will be minimized (input) and at least one criterion that will be maximized (output). [...] [...] [...] ]]> A list of alternatives (DMUs). [...] [...] ]]> A list of alternatives (DMUs) performances. [...] [...] [...] [...] [...] ]]> A list of criteria linear constraints. [...] [...] [...] [...] [...] [...] ]]> "boundariesProvided" indicates if criteria values boundaries are given in criteria input or they have to be computed based on alternatives performances. "samplesNo" represents the number of samples to generate. "transformToUtilites" indicates if given alternatives values are utilities or if they have to be firstly transformed to utilities. %1 %2 %3 ]]> false The value should be a positive integer. 0 ]]> 100 true

A performance table for given alternatives. Single performance consists of attribute criterionID representing certain ranking, and a value representing ratio of samples attaining this ranking. [...] Rank [...] [...] [...] ]]>

A list of alternatives with average rank (obtained for given sample). [...] [...] [...] ]]>

A list of messages generated by the algorithm.