Evaluation of rejected cases in an acceptance system with data envelopment analysis and goal programming

摘要: Some DEA models have been proposed for acceptance or rejection based on a set of cases that previously classified. Also, modified DEA-type linear programming model has to determine whether new case must be accepted rejected, depending its location on, above, below the sample frontier. However, these assume all attributes characterize are discretionary. This paper extends results by proposing includes discretionary and non-discretionary (inputs), more important, goal program which resembles additive characteristics changed (and how much) in order accept an initially rejected case. A real application is provided illustrate potential ideas.