Uncertainty in Data Envelopment Analysis

Chapter Five: Uncertain data envelopment analysis

Abstract

The classical data envelopment analysis (DEA) assumes that all the inputs and outputs are crisp values. However, in many real-world cases, the inputs and outputs cannot be measured in a precise way. With the lack of historical data for an uncertain event, the belief degree-based uncertainty theory becomes more applicable than other types of uncertainties such as fuzzy theory, stochastic programming, etc. In this chapter, the belief degree-based uncertain form of the DEA models of Chapter 2 are presented and some solution approaches are introduced to tackle them and obtain their equivalent crisp form.

Keywords

Data envelopment analysis; Uncertain theory; Uncertain variable; Belief ...