Data Envelopment Analysis (DEA) is a very effective method to evaluate the relative efficiency of decision-making units (DMUs). Since the data of production processes cannot be precisely measured in some cases, the uncertain theory has played an important role in DEA. This paper attempts to extend t
Fuzzy data envelopment analysis (DEA): a possibility approach
β Scribed by Saowanee Lertworasirikul; Shu-Cherng Fang; Jeffrey A. Joines; Henry L.W. Nuttle
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 263 KB
- Volume
- 139
- Category
- Article
- ISSN
- 0165-0114
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Due to its wide practical use, data envelopment analysis (DEA) has been adapted to many fields to deal with problems that have occurred in practice. One adaptation has been in the field of ranking decision-making units (DMUs). Most methods of ranking DMUs assume that all input and output data are ex
This study discusses a combined use of DEA (Data Environment Analysis) with SCSC (Strong Complementary Slackness Condition) and DEA-DA (Discriminant Analysis). Many studies use DEA to evaluate the performance of various organizations in private and public sectors. A conventional use of DEA is not pe