A mathematical programming approach to fuzzy efficiency ranking

Chiang Kao, Shiang Tai Liu

研究成果: Article同行評審

90 引文 斯高帕斯(Scopus)


Data envelopment analysis is a widely applied approach for measuring the relative efficiencies of a set of decision-making units (DMUs) which use multiple inputs to produce multiple outputs. When some observations are fuzzy, the efficiencies become fuzzy as well. This paper devises a method to rank the fuzzy efficiency scores without knowing the exact form of the membership functions. The idea is to apply the maximizing set-minimizing set method, which is normally applied when membership functions are known. Via a skillful modeling technique, the requirement of the membership functions is avoided. The efficiency rankings are consequently determined by solving a pair of nonlinear programs for each DMU. To illustrate how the proposed method is applied, the ranking of the 24 university libraries in Taiwan with fuzzy observations is exemplified.

頁(從 - 到)145-154
期刊International Journal of Production Economics
出版狀態Published - 2003 十一月 11

All Science Journal Classification (ASJC) codes

  • 經濟學與計量經濟學
  • 工業與製造工程


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