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On Solving CCR-DEA Problems Involving Type-2 Fuzzy Uncertainty Using Centroid-Based Optimization

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Advanced Intelligent Computing Theories and Applications (ICIC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9227))

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Abstract

In this paper we propose a method for solving Data Envelopment Analysis (DEA) problems involving uncertainty generated by the opinion of multiple experts. Experts opinions define the values of inputs and outputs, and they are handled with interval Type-2 fuzzy sets. The proposed method is an extension of the classic CCR model, solved using a centroid-based strategy to reduce computations.

Juan Carlos Figueroa-García is Assistant Professor at the Universidad Distrital Francisco José de Caldas, Bogotá - Colombia.

Carlos Eduardo Castro-Cabrera is undergraduate student of the Industrial Engineering Dept. of the Universidad Distrital Francisco José de Caldas, Bogotá - Colombia

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Authors and Affiliations

  1. Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Juan Carlos Figueroa-García & Carlos Eduardo Castro-Cabrera

Authors
  1. Juan Carlos Figueroa-García
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  2. Carlos Eduardo Castro-Cabrera
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Corresponding author

Correspondence to Juan Carlos Figueroa-García .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Incheon, Korea (Republic of)

    Kyungsook Han

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Figueroa-García, J.C., Castro-Cabrera, C.E. (2015). On Solving CCR-DEA Problems Involving Type-2 Fuzzy Uncertainty Using Centroid-Based Optimization. In: Huang, DS., Han, K. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2015. Lecture Notes in Computer Science(), vol 9227. Springer, Cham. https://doi.org/10.1007/978-3-319-22053-6_21

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  • DOI: https://doi.org/10.1007/978-3-319-22053-6_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22052-9

  • Online ISBN: 978-3-319-22053-6

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