Efficiency Measure by Generalized Fuzzy Data Envelopment Analysis Model
نویسنده
چکیده
Data envelopment analysis (DEA) is a non-parametric technique to measure the efficiencies of a set of decision making units (DMUs) with common crisp inputs and outputs. In real-world problems, however, inputs and outputs typically have some levels of fuzziness. To analyze a DMU with fuzzy input/output data, previous studies provided the fuzzy DEA (FDEA) model and proposed an associated evaluating approach. Nonetheless, numerous deficiencies must be improved in mentioned models. Therefore, the present paper proposes a generalized FDEA model for evaluating efficiency which can evaluate SDMU and the traditional FDEA model.
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