Computes ranks 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 rankings in each column. Single cell indicates how many samples of respective alternative gave respective position in ranking.]]>A list of alternatives (DMUs).
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]]>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).
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]]>A list of alternatives (DMUs) performances. [...]
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]]>A list of alternatives (DMUs) maximal performances. [...]
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]]>A list of criteria linear constraints. [...]
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]]>"samplesNb" represents the number of samples to generate.%1%2
]]>The value should be a positive integer. 0]]>100The value should be a non-negative number.= 0]]>0.0