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Integrating Cognitive Pairwise Comparison to Data Envelopment Analysis

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Soft Computing in Industrial Applications

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 96))

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Abstract

Data Envelopment Analysis (DEA) is one of the popular approaches of decision analysis. Parametric Settings for DEA is one of the essential steps for the decision making. This research proposes the method to apply Cognitive Pairwise Comparison (CPC) to the determination of the parametric settings in DEA. The usability and applicability of the enhanced DEA are demonstrated in a resource allocation problem on the basis of quality-cost balance.

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Author information

Authors and Affiliations

  1. School of Science and Technology, The Open University of Hong Kong,  

    Kevin Kam Fung Yuen

Authors
  1. Kevin Kam Fung Yuen
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Editor information

Editors and Affiliations

  1. Department of Polymer Engineering, University of Minho, Campus de Azurém, 4800-058, Guimarães, Portugal

    António Gaspar-Cunha

  2. Department of Mathematics, Federal University of Minas Gerais (UFMG) , Av. Antonio Carlos 6627, 30123970, Belo Horizonte, Brazil

    Ricardo Takahashi

  3. Department of Computer Science, Loughborough University, LE11 3TU, Loughborough, U.K.

    Gerald Schaefer

  4. Department of Production and Systems School of Engineering, University of Minho, 4800-058, Guimarães, Portugal

    Lino Costa

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© 2011 Springer-Verlag Berlin Heidelberg

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Yuen, K.K.F. (2011). Integrating Cognitive Pairwise Comparison to Data Envelopment Analysis. In: Gaspar-Cunha, A., Takahashi, R., Schaefer, G., Costa, L. (eds) Soft Computing in Industrial Applications. Advances in Intelligent and Soft Computing, vol 96. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20505-7_20

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  • DOI: https://doi.org/10.1007/978-3-642-20505-7_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20504-0

  • Online ISBN: 978-3-642-20505-7

  • eBook Packages: EngineeringEngineering (R0)

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