Network data envelopment analysis with fuzzy data

研究成果: Chapter

10 引文 斯高帕斯(Scopus)

摘要

Conventional data envelopment analysis (DEA) treats a system as a whole unit when measuring efficiency, ignoring the operations of the component processes. Network DEA, on the other hand, takes the component processes into consideration, with results that are more representative and can be used to identify inefficient components. This paper discusses network DEA for fuzzy observations. Two approaches, the membership grade and the α-cut, are proposed for measuring the system and process efficiencies via two-level mathematical programming. The model associated with the latter approach is transformed into a conventional one-level program so that the existing solution methods can be applied. Since the data is fuzzy, the measured efficiencies are also fuzzy. The property of the system efficiency slack being the sum of the process efficiency slacks, which holds in the deterministic case, was found to hold for the fuzzy case as well. A simple network system with three processes is used to illustrate the proposed idea.

原文English
主出版物標題Performance Measurement with Fuzzy Data Envelopment Analysis
發行者Springer Verlag
頁面191-206
頁數16
ISBN(列印)9783642413711
DOIs
出版狀態Published - 2014 1月 1

出版系列

名字Studies in Fuzziness and Soft Computing
309
ISSN(列印)1434-9922

All Science Journal Classification (ASJC) codes

  • 電腦科學(雜項)
  • 計算數學

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