Improving of Efficiency in DEA with Interval Data

Data envelopment analysis is a widely applied approach for measuring the relative efficiencies of a set of decision making units (DMUs) which use multiple inputs to produce multiple outputs. An assumption underlying DEA is that all the data are known exactly, in reality, many factors cannot be measured in a precise manner. In recent years, in different applications of DEA, inputs, outputs and price vectors have been observed whose values are indefinite. Such data are called ‘‘inaccurate”. Inaccurate data can be probabilistic, interval, ordinal, qualitative or fuzzy. In this paper, we investigate the efficiency in DEA model which the inputs and outputs are located within the bounded intervals, then we convert non-linear model to a linear one, afterward minimal variation of interval of inputs and outputs are computed for attainment fully efficiency, Indeed, we present a new method for improving of efficiency classifications of DMUs with interval data in data envelopment analysis.

کلیدواژه ها:

DEA ، Interval data ، Degree holding true ، Efficiency classification