Determines dominance relations for the given DMUs (alternatives) using SMAA-D method and CCR Data Envelopment Analysis Model with imprecise data. For given number of samples returns a matrix with alternatives in each row and column. Single cell indicates how many samples of alternative in a row dominates alternative in a column. ]]> A list of alternatives (DMUs). [...] [...] ]]> 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) performances. [...] [...] [...] [...] [...] ]]> A list of alternatives (DMUs) maximal performances. [...] [...] [...] [...] [...] ]]> A list of criteria linear constraints. [...] [...] [...] [...] [...] [...] ]]> "samplesNb" represents the number of samples to generate. %1 %2 ]]> The value should be a positive integer. 0]]> 100 The value should be a non-negative number. = 0]]> 0.0

A performance table for given alternatives. Single performance consists of attribute criterionID representing dominated alternative, and a value representing ratio of samples dominating this alternative. [...] geq [...] [...] [...] ]]>

A list of messages generated by the algorithm.