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A Multi-perceptual-Based Approach for Group Decision Aiding

  • Olga Porro
  • , N. Agell
  • , Mónica Sánchez
  • , Francisco J. Ruiz*
  • *Corresponding author for this work

Research output: Book chapterConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper presents a multi-perceptual framework for multi-criteria group decision aiding based on unbalanced hesitant linguistic information. The concept of a perceptual map is introduced to break the uniformity among the set of basic labels considered in linguistic term sets. Projected perceptual maps are considered to provide multi-perceptual frameworks for group decision aiding. This approach enables decision-makers to use sets of labels or different meanings for the same set of labels (since not all decision-makers feel comfortable using the same linguistic term set when expressing their judgements). Distances and measures of centrality and agreement or consensus are revised based on the concept of a perceptual map and a projected perceptual map that enables us to merge information from decision makers.

Original languageEnglish
Title of host publicationModeling Decisions for Artificial Intelligence - 19th International Conference, MDAI 2022, Proceedings
EditorsVicenç Torra, Yasuo Narukawa
PublisherSpringer Science and Business Media Deutschland GmbH
Pages15-25
Number of pages11
ISBN (Print)9783031134470
DOIs
Publication statusPublished - 2022
Event19th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2022 - Sant Cugat, Spain
Duration: 30 Aug 20222 Sept 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13408 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2022
Country/TerritorySpain
CitySant Cugat
Period30/08/222/09/22

Keywords

  • Hesitant fuzzy linguistic terms set
  • Perceptual map
  • Projected perceptual maps

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