Fuzzy Data Envelopment Analysis And Its Applications For Aggregating Preference Ranking

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dc.contributor.authorE Langroudi, Madjid Zerafat Angiz
dc.date.accessioned2018-09-26T02:19:56Z
dc.date.available2018-09-26T02:19:56Z
dc.date.issued2010-07
dc.description.abstractOver the past two decades, Data Envelopment Analysis (DEA) has appeared as an important tool in the field of efficiency measurement. DEA is used to compare Decision Making Units (DMUs) such as bank branches, hospitals, sales outlets, which consume one or more non-homogenous inputs to produce one or more nonhomogenous outputs. The DMUs consume the same inputs and produce the same outputs but generally at varying levels. One of the main characteristics of DEA is its sensitivity to data. That is, inaccurate data may divert effectively the results of efficiency analysis from its actual value. But accurate measurement in many real world problems, due to either non-availability of sophisticated measurement tools or qualitative nature of the phenomena may not be possible. This kind of information can be represented as fuzzy numbers or linguistic terms.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/6615
dc.language.isoenen_US
dc.publisherUniversiti Sains Malaysiaen_US
dc.subjectFuzzy Data Envelopment Analysisen_US
dc.subjectIts Applications For Aggregating Preference Rankingen_US
dc.titleFuzzy Data Envelopment Analysis And Its Applications For Aggregating Preference Rankingen_US
dc.typeThesisen_US
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