Radial-Like DEA Measure for Nagative Data: An Undersirable Input Approach

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Project title

Code/計畫編號

NSC102-2410-H019-015-MY2

Translated Name/計畫中文名

負數資料之類放射狀DEA度量模式：非期望投入方法

Project Coordinator/計畫主持人

Hsuan-Shih Lee

Funding Organization/主管機關

National Science and Technology Council

Department/Unit

Department of Shipping and Transportation Management

Website

https://www.grb.gov.tw/search/planDetail?id=8126901

Year

2014

Start date/計畫起

01-08-2014

Expected Completion/計畫迄

31-07-2015

Bugetid/研究經費

867千元

ResearchField/研究領域

管理科學

"本研究計畫將發展一個類輻射狀(radial-like)的DEA 度量模式，用以衡量決策制定單元(DMU)之投入產出有負數資料時之效率。本研究將會改善既有的方法 (SORM) 。SORM 的計算有可會發生計算錯誤，將效率值誤算為0 會無限值。本研究所提之方法將會避免這個問題。當有負數值出現時，本研究所提之方法，將會找出真正的效率前緣投影。本研究所提之模式可取代變動規模報酬下資料平移的作法。本研究計畫另一個目標是提出一個計算負數值超級效率的模式，而該模式又可避免無可行解的問題。""The current project will develop a radial-like measure in data envelopment analysis (DEA) when (some) input/output data are negative for decision making units (DMUs). The proposed approach improves the existing semi-oriented radial measure (SORM) by not miscalculating DMUs’ efficiency scores as zero or unbounded. The proposed approach identifies the real efficient frontier when negative data are present. The newly developed models behave just like the standard variable returns to scale DEA model without the need for moving the data origin. Super-efficiencies for negative data and the problem of infeasibility will also be investigated in this project. We will develop a radial-like model to measure the super-efficiencies for negative data."

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Radial-Like DEA Measure for Nagative Data: An Undersirable Input Approach

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