Fuzzy expected value model for data envelopment analysis

  • Authors:
  • Mingqiang Meng;Guoqiang Yuan

  • Affiliations:
  • Department of Basic Courses, Ordnance Engineering College, Shijiazhuang, China;Department of Basic Courses, Hebei College of Finance, Baoding, China

  • Venue:
  • FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
  • Year:
  • 2009

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Abstract

Based on credibility theory, this paper presents a new class of fuzzy expected value model for data envelopment analysis (FEVM-DEA). In some special cases, such as the fuzzy inputs and fuzzy outputs are independent trapezoidal fuzzy variables, we transform the FEVM-DEA to its crisp equivalent class and discuss some basic properties of the proposed FEVM-DEA. Finally, a numerical example is given to illustrate the effectiveness of the proposed FEVMDEA and the relative efficiency is analyzed.