Heuristic for efficiency ranking with fuzzy data
نویسندگان
چکیده
In this paper, we have developed a heuristic that uses Data Envelopment Analysis (DEA) to rank Decision Making Units (DMUs) with fuzzy input and output values in the order of their probable efficiency. The heuristic is designed to be used with the raw samples of the fuzzy data, and does not require knowledge of the fuzzy data’s probability distribution. It is meant to be a simple method of differentiating fuzzy DMUs, rather than a replacement for more complex and rigorous methods of analysis. Working of the heuristic has been demonstrated using numerical examples from existing works on fuzzy DEA.
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