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Ranking of Fuzzy Efficiency Measures via Satisfaction Degree

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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))

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Abstract

Fuzzy DEA models emerge as another class of DEA models that support subjectivity in eliciting inputs and outputs for decision making units (DMUs). Though several approaches for solving fuzzy DEA models exist, there are some drawbacks, ranging from the inability to provide satisfactory discrimination power to simplistic numerical examples that handle only symmetrical fuzzy numbers. To address these drawbacks, a fuzzy DEA-CCR model using a linear ranking function is proposed to incorporate fuzzy inputs and fuzzy outputs that are asymmetrical in nature. This chapter proposes a ranking method for fuzzy efficiency measures through a formalised fuzzy DEA model.

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Author information

Authors and Affiliations

  1. School of Mathematical Sciences, Universiti Sains Malaysia, 11800, USM, Penang, Malaysia

    M.-R. Ghasemi, Joshua Ignatius & S. M. Davoodi

  2. Department of Mathematics, Islamic Azad University, Abadeh branch, Iran

    S. M. Davoodi

Authors
  1. M.-R. Ghasemi
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  2. Joshua Ignatius
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  3. S. M. Davoodi
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Corresponding author

Correspondence to Joshua Ignatius .

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

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Ghasemi, MR., Ignatius, J., Davoodi, S.M. (2014). Ranking of Fuzzy Efficiency Measures via Satisfaction Degree. 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_7

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  • DOI: https://doi.org/10.1007/978-3-642-41372-8_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41371-1

  • Online ISBN: 978-3-642-41372-8

  • eBook Packages: EngineeringEngineering (R0)

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