A NEW METHOD FOR SOLVING FUZZY DEA MODELS

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SANEI M.; ROSTAMY MALKHALIFEH M.; SALEH H.

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Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS Year:2009 | Volume:1 | Issue:4 Page(s): 307-313

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Title

A NEW METHOD FOR SOLVING FUZZY DEA MODELS

Author(s)

SANEI M. | ROSTAMY MALKHALIFEH M. | SALEH H. | Issue Writer Certificate

Keywords

DEA

FUZZY DEA DISTANCE

CCR

BCC

Abstract

Data envelopment analysis is a technique for measuring the relative efficiency of a set of decision making units with common data, but in this paper we explain a new method for evaluating of decision making units with fuzzy data.We solve CCR and BCC models with fuzzy inputs and outputs by distance minimization that this method is better than other methods for ranking of fuzzy numbers and then we put in order efficient and inefficient decision making units.

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APA: Copy

SANEI, M., ROSTAMY MALKHALIFEH, M., & SALEH, H.. (2009). A NEW METHOD FOR SOLVING FUZZY DEA MODELS. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 1(4), 307-313. SID. https://sid.ir/paper/574287/en

Vancouver: Copy

SANEI M., ROSTAMY MALKHALIFEH M., SALEH H.. A NEW METHOD FOR SOLVING FUZZY DEA MODELS. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2009;1(4):307-313. Available from: https://sid.ir/paper/574287/en

IEEE: Copy

M. SANEI, M. ROSTAMY MALKHALIFEH, and H. SALEH, “A NEW METHOD FOR SOLVING FUZZY DEA MODELS,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 1, no. 4, pp. 307–313, 2009, [Online]. Available: https://sid.ir/paper/574287/en

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