Computes efficiency scores for the given DMUs (alternatives) using SMAA-D method and Additive Data Envelopment Analysis Model with imprecise data. 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.]]>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) minimal performances (or exact performances if intervals should be created by tolerance). [...]
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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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]]>Represents method parameters.
"tolerance" represents the fraction for creating interval data (created interval: [data*(1-tolerance), data*(1+tolerance)]),
"transformToUtilities" means if data should be tranformed into values from range [0-1],
"boundariesProvided" means if inputsOutputs file contains information about min and max data for each factor,
"functionShapeProvided" means if inputsOutputs file contains information about the shapes of value function for given factor,
"samplesNb" determines number of samples used to calculate results,
"intervalsNb" determines number of buckets, for which the efficiency scores are divided.
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]]>The value should be a positive integer. 0]]>100The value should be a positive integer. 0]]>10The value should be a non-negative number.= 0]]>0.0truefalsefalse