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Solving Transhipment Problems with Fuzzy Delivery Costs and Fuzzy Constraints

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Fuzzy Information Processing (NAFIPS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 831))

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Abstract

This paper shows a method for solving transhipment problems where its delivery costs and constraints are defined using information coming from experts. Then, we use fuzzy numbers to represent delivery costs and constraints, and an iterative algorithm based on the cumulative membership function of a fuzzy set to find an overall solution among fuzzy delivery times and constraints.

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Authors and Affiliations

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

    Juan Carlos Figueroa-García, Jhoan Sebastian Tenjo-García & Camilo Alejandro Bustos-Tellez

Authors
  1. Juan Carlos Figueroa-García
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  2. Jhoan Sebastian Tenjo-García
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  3. Camilo Alejandro Bustos-Tellez
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Corresponding author

Correspondence to Juan Carlos Figueroa-García .

Editor information

Editors and Affiliations

  1. Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Ceará, Brazil

    Guilherme A. Barreto

  2. Department of Statistics & Applied Mathematics, Federal University of Ceará, Fortaleza, Ceará, Brazil

    Ricardo Coelho

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Figueroa-García, J.C., Tenjo-García, J.S., Bustos-Tellez, C.A. (2018). Solving Transhipment Problems with Fuzzy Delivery Costs and Fuzzy Constraints. In: Barreto, G., Coelho, R. (eds) Fuzzy Information Processing. NAFIPS 2018. Communications in Computer and Information Science, vol 831. Springer, Cham. https://doi.org/10.1007/978-3-319-95312-0_47

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  • DOI: https://doi.org/10.1007/978-3-319-95312-0_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95311-3

  • Online ISBN: 978-3-319-95312-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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