Computes efficiency scores for the given DMUs (alternatives) using Additive Data Envelopment Analysis Model with imprecise information. ]]> G. Jahanshahloo, F. H. Lotfi, M. R. Malkhalifeh, and M. A. Namin. A generalized model for data envelopment analysis with interval data. 2009. MC. Gouveia et al. Super-efficiency and stability intervals in additive DEA. 2013 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) minimal performances (or exact performances if intervals should be created by tolerance). [...] [...] [...] [...] [...] ]]> A list of alternatives (DMUs) maximal performances. [...] [...] [...] [...] [...] ]]> A list of criteria linear constraints. [...] [...] [...] [...] [...] [...] ]]> 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. %1 %2 %3 %4 ]]> The value should be non-negative. = 0]]> 0.00 true false false

A list of alternatives with computed best rank for each of them. [...] [...] [...] ]]>

A list of alternatives with computed worst rank for each of them. [...] [...] [...] ]]>

A list of messages generated by the algorithm.