A model for fuzzy-cost travel distribution problems using entropy measures

Jenny Paola León, Juan Carlos Figueroa-García*, Héctor López-Ospina

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationApplied Computer Sciences in Engineering - 3rd Workshop on Engineering Applications, WEA 2016, Revised Selected Papers
EditorsJuan Carlos Figueroa-García, Eduyn Ramiro López-Santana, Roberto Ferro-Escobar
PublisherSpringer Verlag
Pages268-279
Number of pages12
ISBN (Print)9783319508795
DOIs
StatePublished - 2016
Externally publishedYes
Event3rd Workshop on Engineering Applications, WEA 2016 - Bogota, Colombia
Duration: 21 Sep 201623 Sep 2016

Publication series

NameCommunications in Computer and Information Science
Volume657
ISSN (Print)1865-0929

Conference

Conference3rd Workshop on Engineering Applications, WEA 2016
Country/TerritoryColombia
CityBogota
Period21/09/1623/09/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2016.

Keywords

  • Entropy maximization Springer International
  • Fuzzy sets
  • Travel distribution problems

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