A Model Of Fuzzy Data Envelopment Analysis

Abstract

In this paper, we present a methodology of data envelopment analysis (DEA) in the context of fuzzy sets (inaccurate determination, uncertainty or imprecision of events). We introduced fuzzy performance measures as inputs and outputs in the CCR model of Charnes et al. (1978). A numerical illustration is presented. The findings of the fuzzy data envelopment analysis model are compared to a crisp ranking methodology based on DEA cross-evaluation (Kettani et al., 1997). The fuzzy results have outlined the practical and robustness aspects of the fuzzy methodology. The pros and cons of the model are discussed.