A new fuzzy complete ranking of DMUs with undesirable outputs

چکیده مقاله

Efficiency analysis is performed not only to estimate the current level of efficiency, but also to
provide information on how to remove inefficiency, that is, to obtain benchmarking information.
Data Envelopment Analysis (DEA) was developed in order to satisfy both objectives and the
strength of its benchmarking analysis gives DEA a unique advantage over other methodologies of
efficiency analysis. Data envelopment analysis is an efficiency estimation technique, but it can be
used for solving many problems of management such as ranking of DMUs. Ranking DMUs is an
important issue in DEA studies. Traditional data envelopment analysis models do not deal with
imprecise data an assume that the data for all inputs and outputs are known exactly. In real world
situations, however, this assumption may not always be true. The motivation of this study is to
develop a new fuzzy ranking model with undesirable outputs. We use possibility approach is chosen
to convert the fuzzy model to a crisp model.

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