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International Conference on Intelligent Computing

ICIC 2017: Intelligent Computing Methodologies pp 264–273Cite as

Fuzzy Uncertainty in Random Variable Generation: An α-Cut Approach

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10363))

Abstract

This paper presents a method for random variable generation based on \( \alpha \)-cuts. The proposed method uses convex fuzzy numbers with single-element core and uniformly distributed random numbers to obtain random variables, mainly used in simulation models.

C.A. Varón-Gaviria and J.L. Barbosa-Fontecha are undergraduate students at the Universidad Distrital Francisco José de Caldas, Bogotá – Colombia.

J.C. Figueroa-García is Assistant Professor of the Universidad Distrital Francisco José de Caldas, Bogotá – Colombia.

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Author information

Authors and Affiliations

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

    Christian Alfredo Varón-Gaviria, José Luis Barbosa-Fontecha & Juan Carlos Figueroa-García

Authors
  1. Christian Alfredo Varón-Gaviria
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  2. José Luis Barbosa-Fontecha
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  3. Juan Carlos Figueroa-García
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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. Liverpool John Moores University, Liverpool, United Kingdom

    Abir Hussain

  3. Inha University, Incheon, Korea (Republic of)

    Kyungsook Han

  4. Indian Institute of Technology Madras, Chennai, India

    M. Michael Gromiha

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Varón-Gaviria, C.A., Barbosa-Fontecha, J.L., Figueroa-García, J.C. (2017). Fuzzy Uncertainty in Random Variable Generation: An α-Cut Approach. In: Huang, DS., Hussain, A., Han, K., Gromiha, M. (eds) Intelligent Computing Methodologies. ICIC 2017. Lecture Notes in Computer Science(), vol 10363. Springer, Cham. https://doi.org/10.1007/978-3-319-63315-2_23

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  • DOI: https://doi.org/10.1007/978-3-319-63315-2_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63314-5

  • Online ISBN: 978-3-319-63315-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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