Un-desirable factors in multi-component performance measurement

摘要

Data envelopment analysis (DEA) measures the relative efficiency of decision making units (DMU) with multiple inputs and multiple outputs. These inputs and outputs are classified into two groups: desirable and undesirable. In this paper, we consider the problem of evaluating the efficiency of a set of interdependent decision making sub-units (DMSU) that interdependent DMSUs make up a larger DMU with desirable and undesirable factors.