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A representative in group decision by means of the extended set of hesitant fuzzy linguistic term sets

  • Jordi Montserrat-Adell*
  • , N. Agell
  • , Mónica Sánchez
  • , Francisco Javier Ruiz
  • *Corresponding author for this work

Research output: Book chapterConference contributionpeer-review

9 Citations (Scopus)

Abstract

Hesitant fuzzy linguistic term sets were introduced to grasp the uncertainty existing in human reasoning when expressing preferences. In this paper, an extension of the set of hesitant fuzzy linguistic term sets is presented to capture differences between non-compatible preferences. In addition, an order relation and two closed operation over this set are also introduced to provide a lattice structure to the extended set of hesitant fuzzy linguistic term sets. Based on this lattice structure a distance between hesitant fuzzy linguistic descriptions is defined. This distance enables differences between decision makers to be quantified. Finally, a representative of a decision making group is presented as the centroid of the group based on the introduced distance.

Original languageEnglish
Title of host publicationModeling Decisions for Artificial Intelligence - 13th International Conference, MDAI 2016, Proceedings
EditorsGuillermo Navarro-Arribas, Cristina Yañez, Yasuo Narukawa, Vicenç Torra
PublisherSpringer Verlag
Pages56-67
Number of pages12
ISBN (Print)9783319456553
DOIs
Publication statusPublished - 2016
Event13th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2016 - Sant Juliadeloria, Andorra
Duration: 19 Sept 201621 Sept 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9880 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2016
Country/TerritoryAndorra
CitySant Juliadeloria
Period19/09/1621/09/16

Keywords

  • Group decision making
  • Hesitant fuzzy linguistic term sets
  • Linguistic modeling
  • Uncertainty and fuzzy reasoning

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