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A Model for Fuzzy-Cost Travel Distribution Problems Using Entropy Measures

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Book cover Applied Computer Sciences in Engineering (WEA 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 657))

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Abstract

This paper presents a model for solving probabilistic travel distribution problems that involves fuzzy uncertainty. Using entropy measures for interval-valued problems, we extend those results to a fuzzy environment via extension principle and nonlinear mathematical programming methods. An application example is solved using the proposed fuzzy entropy method in order to analyze their results.

J.P. León is undergraduate student of the Industrial Engineering Dept. of 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.

H. López-Ospina is Associate Professor of the Pontificia Universidad Javeriana, Bogotá - Colombia.

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Author information

Authors and Affiliations

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

    Jenny Paola León & Juan Carlos Figueroa-García

  2. Pontificia Universidad Javeriana, Bogotá, Colombia

    Héctor López-Ospina

Authors
  1. Jenny Paola León
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  2. Juan Carlos Figueroa-García
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  3. Héctor López-Ospina
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Corresponding author

Correspondence to Juan Carlos Figueroa-García .

Editor information

Editors and Affiliations

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

    Juan Carlos Figueroa-García

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

    Eduyn Ramiro López-Santana

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

    Roberto Ferro-Escobar

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León, J.P., Figueroa-García, J.C., López-Ospina, H. (2016). A Model for Fuzzy-Cost Travel Distribution Problems Using Entropy Measures. In: Figueroa-García, J., López-Santana, E., Ferro-Escobar, R. (eds) Applied Computer Sciences in Engineering. WEA 2016. Communications in Computer and Information Science, vol 657. Springer, Cham. https://doi.org/10.1007/978-3-319-50880-1_24

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  • DOI: https://doi.org/10.1007/978-3-319-50880-1_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50879-5

  • Online ISBN: 978-3-319-50880-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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