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Perceptual Maps to Aggregate Information from Decision Makers

  • Olga Porro
  • , Francesc Pardo-Bosch
  • , Mónica Sánchez*
  • , N. Agell
  • *Corresponding author for this work

Research output: Book chapter › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Understanding different perceptions of human being when using linguistic terms is a crucial issue in human-machine interaction. In this paper, we propose the concept of perceptual maps to model human opinions in a group decision-making context. The proposed approach considers a multi-granular structure using unbalanced hesitant linguistic term sets. An illustrative case is presented in the location decisions made by multinationals enterprises of the energy sector within the European smart city context.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development
Subtitle of host publicationProceedings of the 23rd International Conference of the Catalan Association for Artificial Intelligence
EditorsMateu Villaret, Teresa Alsinet, Cesar Fernandez, Aida Valls
PublisherIOS Press BV
ChapterCombinatorial Problem Solving and Logics for Artificial Intelligence
Pages37-45
Number of pages9
ISBN (Electronic)9781643682105
DOIs
Publication statusPublished - 14 Oct 2021
Event23rd International Conference of the Catalan Association for Artificial Intelligence, CCIA 2021 - Virtual, Online, Spain
Duration: 20 Oct 2021 → 22 Oct 2021

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume339
ISSN (Print)0922-6389

Conference

Conference23rd International Conference of the Catalan Association for Artificial Intelligence, CCIA 2021
Country/TerritorySpain
CityVirtual, Online
Period20/10/21 → 22/10/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Fuzzy systems
  • hesitant linguistic terms
  • multi-criteria decision-aiding

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