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Titlebook: Handbook on Data Envelopment Analysis; William W. Cooper,Lawrence M. Seiford,Joe Zhu Book 20041st edition Springer Science+Business Media

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發(fā)表于 2025-3-21 17:11:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Handbook on Data Envelopment Analysis
編輯William W. Cooper,Lawrence M. Seiford,Joe Zhu
視頻videohttp://file.papertrans.cn/423/422478/422478.mp4
叢書名稱International Series in Operations Research & Management Science
圖書封面Titlebook: Handbook on Data Envelopment Analysis;  William W. Cooper,Lawrence M. Seiford,Joe Zhu Book 20041st edition Springer Science+Business Media
描述Data Envelopment Analysis (DEA) is a relatively new “data-oriented” approach for evaluating the performances of a set of entities called Decision- Making Units (DMUs) which convert multiple inputs into multiple outputs. DEA has been used in evaluating the performances of many different kinds of entities engaged in many different kinds of activities in many different contexts. It has opened up possibilities for use in cases which have been resistant to other approaches because of the complex and often unknown nature of the relations between the multiple inputs and outputs involved in many of these activities, which are often reported in non-commeasurable units. DEA has also been used to supply new insights into activities and entities that have previously been evaluated by othermethods. This handbook is intended to represent a milestone in the progression of DEA. Written by experts, who are often major contributors to the topics to be covered, it includes a comprehensive review and discussion of basic DEA models, extensions to the basic DEA methods, and a collection of DEA applications in the areas of banking, education, sports, retail, health care, and a review of current DEA softw
出版日期Book 20041st edition
關(guān)鍵詞DEA; Data Envelopment Analysis; Data-Envelopment-Analysis; Econometrics; Operations Research; Production
版次1
doihttps://doi.org/10.1007/b105307
isbn_ebook978-1-4020-7798-2Series ISSN 0884-8289 Series E-ISSN 2214-7934
issn_series 0884-8289
copyrightSpringer Science+Business Media New York 2004
The information of publication is updating

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發(fā)表于 2025-3-21 22:55:20 | 只看該作者
Rolf F?re,Shawna Grosskopf,Gerald WhittakerA few years ago, the keyword big data resounded throughout the land. What is meant is the emergence and the analysis of huge amounts of data that is generated by the spreading of the Internet, social media, the increasing number of built-in sensors and the Internet of Things, etc.
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Distance Functions,Duality between distance functions and support functions is shown to be the basis for performance measures and their decompositions. DEA may be used to evaluate the measures.
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William W. Cooper,Honghui Deng,Lawrence M. Seiford,Joe Zhu between a human and a computer via natural language. When replying, the machine took on the role of a psychotherapist, worked on the basis of a structured dictionary and looked for keywords in the entered text.
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Konstantinos P. Triantis perspectives. This also answers the question of which resources have the greatest impact so that employees are willing and able to engage in such productive collaboration. See also the note at the beginning of Chap. 8.
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