Generalized Fuzzy Sample DEA Model and its Application in the Evaluation of Projects

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 63-64)
• Pages: 407-411
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.63-64.407
• Online since: June 2011
• Authors: Ren Mu, Zhan Xin Ma, Wei Cui, Yun Morigen Wu
• Keywords: CCR, Efficiency, FDEA, Fuzzy Sample DMU, α-Level

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