Computing Distances between Decision Makers Using Hesitant Fuzzy Linguistic Term Sets

Núria Agell, Mónica Sánchez, Francesc Prats, Francisco Javier Ruiz

Research output: Book chapterConference contributionpeer-review

1 Citation (Scopus)

Abstract

Given a finite totally ordered set of linguistic terms, the operations intersection and connected union provide a lattice structure to the set of hesitant fuzzy linguistic term sets. In this framework, hesitant fuzzy linguistic descriptions of a given set of alternatives are considered. A distance between hesitant fuzzy linguistic descriptions is introduced based on the properties of the lattice. This metric structure allows distances between decision makers to be computed. A centroid or group representative is defined in group decision-making processes where decision makers are assessing different alternatives by means of hesitant fuzzy linguistic term sets.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development - Proceedings of the 18th International Conference of the Catalan Association for Artificial Intelligence
EditorsDionis Boixader, Francisco Grimaldo, Eva Armengol
PublisherIOS Press
Pages71-79
Number of pages9
ISBN (Electronic)9781614995777
DOIs
Publication statusPublished - 2015
Event18th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2015 - Valencia, Spain
Duration: 21 Oct 201523 Oct 2015

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume277
ISSN (Print)0922-6389

Conference

Conference18th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2015
Country/TerritorySpain
CityValencia
Period21/10/1523/10/15

Keywords

  • Decision support
  • Knowledge Management
  • Uncertainty and fuzzy reasoning

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