| Summary: | 碩士 === 國立暨南國際大學 === 資訊管理學系 === 99 === Data envelopment analysis (DEA) is a commonly used assessment method that is
used to measure the performance of decision-making units (DMUs), while mainly dealing
with precise input values and precise output value data. However, they are limited to
measuring the efficiency of each DMU one by one. In other words, each DMU can find the
best weight for itself but cannot directly sort them. Therefore, none of the DMUs can be
compared directly because of a different basis. This paper proposes a new DEA model to
handle imprecise and negative values from a multiple objective programming point of view.
In addition, one example is presented to further illustrate the advantages of the proposed
model, and finally, 14 financial holding companies in Taiwan are used to evaluate the fuzzy
data with negative information and show the feasibility of the proposed DEA model.
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