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Network Fuzzy Data Envelopment Analysis

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Performance Measurement with Fuzzy Data Envelopment Analysis

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 309))

Abstract

In this chapter a general approach to handle fuzzy data when the units under analysis are formed by a network of processes is presented. Conventional DEA assumes a single-process that consumes all the different inputs and produces all the different outputs. Network DEA, on the contrary, considers different interrelated processes, each one with its own inputs, its own outputs and, very important, its own technology. This allows a more fine-grained analysis although at the expense of requiring more data. Conventional Network DEA approaches assume crisp data although recently two proposals have been made that can process fuzzy data in the special cases of a serial two-stage system and of parallel production processes. There is, however, a need to deal with general networks of processes which can have fuzzy input or output data. In this chapter, several Fuzzy DEA approaches are extended to Network DEA. The resulting models are illustrated on a dataset from the literature.

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Acknowledgments

This research was carried out with the financial support of the Spanish Ministry of Science grant DPI2010-16201, and FEDER.

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Authors and Affiliations

  1. Department of Industrial Management, University of Seville, Camino de los Descubrimientos, s/n, 41012, Seville, Spain

    Sebastián Lozano & Plácido Moreno

Authors
  1. Sebastián Lozano
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  2. Plácido Moreno
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Corresponding author

Correspondence to Sebastián Lozano .

Editor information

Editors and Affiliations

  1. Operations and Information Management Group, Aston Business School, Aston University, Birmingham, United Kingdom

    Ali Emrouznejad

  2. Business Systems and Analytics Department, La Salle University, Philadelphia, Pennsylvania, USA

    Madjid Tavana

Appendix

Appendix

See Tables A.1, A.2, and A.3.

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Lozano, S., Moreno, P. (2014). Network Fuzzy Data Envelopment Analysis. In: Emrouznejad, A., Tavana, M. (eds) Performance Measurement with Fuzzy Data Envelopment Analysis. Studies in Fuzziness and Soft Computing, vol 309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41372-8_10

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  • DOI: https://doi.org/10.1007/978-3-642-41372-8_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41371-1

  • Online ISBN: 978-3-642-41372-8

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