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Hybrid DEA

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Uncertain Data Envelopment Analysis

Part of the book series: Uncertainty and Operations Research ((UOR))

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Abstract

In many cases, uncertainty and randomness simultaneously appear in a system. For example, some DMUs have no samples, while others have enough samples to determine probability distributions. In this case, this chapter will give some hybrid DEA models to deal with the hybrid uncertainties. This chapter will employ chance theory to model the hybrid DEA models.

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References

  1. Charnes A, Cooper W (1961) Management models and industrial applications of linear programming. Wiley, New York

    Google Scholar 

  2. Hurwicz L (1951) Optimality criteria for decision making under ignorance. Cowles Commission discussion paper, Chicago, 370

    Google Scholar 

  3. Hurwicz L (1951) Some specification problems and application to econometric models (abstract). Econometrica 19:343–344 (1951)

    Google Scholar 

  4. Liu B (1997) Dependent-chance programming: a class of stochastic programming. Comput Math Appl 34(12):89–104

    Article  Google Scholar 

  5. Liu B (1999) Dependent-chance programming with fuzzy decisions. IEEE Trans Fuzzy Syst 7:354–360

    Article  Google Scholar 

  6. Liu B (2002) Random fuzzy dependent-chance programming and its hybrid intelligent algorithm. Inf Sci 141(3–4):259–271

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Wen, M. (2015). Hybrid DEA. In: Uncertain Data Envelopment Analysis. Uncertainty and Operations Research. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43802-2_6

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