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A Note About Sensitivity Analysis for the Soft Constraints Model

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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

In this paper we analyze some cases where the Soft Constraints of a fuzzy LP Linear Programming model can be changed, which is known as Sensitivity analysis. Other related properties are also glimpsed and discussed in order to see how this model is sensible to changes in the parameters in their constraints. Some examples are provided and the results are discussed.

G.J. Hernández-Pérez is Associate Professor of the Engineering Dept. of the Universidad Nacional de Colombia, Bogotá Campus.

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

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Authors and Affiliations

  1. Universidad Nacional de Colombia, Bogotá Campus, Bogotá, Colombia

    Germán Jairo Hernández-Pérez

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

    Juan Carlos Figueroa-García

Authors
  1. Germán Jairo Hernández-Pérez
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  2. Juan Carlos Figueroa-García
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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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Hernández-Pérez, G.J., Figueroa-García, J.C. (2016). A Note About Sensitivity Analysis for the Soft Constraints Model. 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_23

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  • DOI: https://doi.org/10.1007/978-3-319-50880-1_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50879-5

  • Online ISBN: 978-3-319-50880-1

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