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Computing Efficiency for Decision Making Units with Negative and Interval Data
Data Envelopment Analysis and Decision Science
Data Envelopment Analysis (DEA) is a nonparametric method for identifying sources and estimating the mount of inefficiencies contained in inputs and outputs produced by Decision Making Units (DMUs). DEA requires that the data for all inputs and outputs should be known exactly, but under many qualifications, exact data are inadequate to model real-life situations. So these data may have different structures such as bounded data, interval data, and fuzzy data. Moreover, the main assumption in alldoi:10.5899/2016/dea-00120 fatcat:5hoc35ntkjbvbj7ff7ampg5e74