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 alternatives in each row and buckets representing efficiency intervals in each column. Single cell indicates how many samples gave efficiency scores of respective alternative in respective bucket. Cooper W., Seiford L., Tone K., Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver (2007). 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. [...] [...] [...] [...] [...] [...] ]]> "samplesNo" represents the number of samples to generate; "intervalsNo" represents the number of buckets which efficiency scores will be assigned to. %1 %2 ]]> The value should be a positive integer. 0 ]]> 100 The value should be a positive integer. 0 ]]> 10

A performance table for given alternatives. Single performance consists of attribute criterionID representing certain bucket, and a value representing the ratio of efficiency scores in this bucket. [...] Bucket [...] [...] [...] ]]>

A list of alternatives with maximum efficiency scores (obtained for given sample). [...] [...] [...] ]]>

A list of alternatives with computed minimum efficiency scores (obtained for given sample). [...] [...] [...] ]]>

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

A list of messages generated by the algorithm.