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Information Journal Paper

Title

Ranking Efficient DMUs Using the Tchebycheff Norm with Fuzzy Data in DEA

Pages

  158-175

Abstract

 In many real applications, the data of production processes cannot be precisely measured. Hence the input and output of Decision Making Units (DMUs) in Data Envelopment Analysis (DEA) may be imprecise or fuzzy-numbered. In original DEA models, inputs and outputs are measured by exact values on a ratio scale, therefore conventional DEA can't easily measure the performance of DMUs and rank them. The researchers have introduced mane deferent model for ranking DMUs by fuzzy number. In this paper, we proposed a new method by using the Tchebycheff norm for ranking DMUs with fuzzy data. We explain our method by numerical example with the triangular fuzzy number.

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    • Cite

    APA: Copy

    Mirzaei, S. H., & SALEHI, A.. (2019). Ranking Efficient DMUs Using the Tchebycheff Norm with Fuzzy Data in DEA. INTERNATIONAL JOURNAL OF RESEARCH IN INDUSTRIAL ENGINEERING, 8(2), 158-175. SID. https://sid.ir/paper/765526/en

    Vancouver: Copy

    Mirzaei S. H., SALEHI A.. Ranking Efficient DMUs Using the Tchebycheff Norm with Fuzzy Data in DEA. INTERNATIONAL JOURNAL OF RESEARCH IN INDUSTRIAL ENGINEERING[Internet]. 2019;8(2):158-175. Available from: https://sid.ir/paper/765526/en

    IEEE: Copy

    S. H. Mirzaei, and A. SALEHI, “Ranking Efficient DMUs Using the Tchebycheff Norm with Fuzzy Data in DEA,” INTERNATIONAL JOURNAL OF RESEARCH IN INDUSTRIAL ENGINEERING, vol. 8, no. 2, pp. 158–175, 2019, [Online]. Available: https://sid.ir/paper/765526/en

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