Chapter Three: Fuzzy data envelopment analysis
Abstract
The classical data envelopment analysis (DEA) model assumes 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. In this chapter, the fuzzy 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; Fuzzy set theory; α-cut; Ranking function
3.1: Introduction
In some operational systems, the decision-making units (DMUs) play a critical role in the overall performance of the system. According to limitations such as capital, time, energy, etc., in the DMU performance, managers ...
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