Generalized Fuzzy Sample DEA Model and its Application in the Evaluation of Projects
Evaluating the performance of activities or organizations by traditional data envelopment analysis model requires crisp input/output data. However, in real-world problems inputs and outputs are often with some fuzziness. To evaluate DMU with fuzzy input/output data, researchers provided fuzzy data envelopment analysis (FDEA) model and proposed related evaluating method. But up to now, we still cannot evaluate a fuzzy sample decision making unit (SDMU) for FDEA model. So this paper proposes a generalized fuzzy DEA model which can evaluate a sample decision making unit and a numerical experiment is used to illustrate this model.
Helen Zhang and David Jin
R. Mu et al., "Generalized Fuzzy Sample DEA Model and its Application in the Evaluation of Projects", Applied Mechanics and Materials, Vols. 63-64, pp. 407-411, 2011