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An Application to Measure Consensus on Customers' Ratings Using Hesitant Fuzzy Linguistic Term Sets

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

Abstract

In this study, we propose a methodology using hesitant fuzzy linguistic term sets to aggregate rating values. The main idea is to define an integrated methodology for collaborative platforms involving individuals that use the same set of linguistic terms with different semantics. The objective is to fuse the opinions of different profiles of reviewers or customers when assessing an alternative. The proposed approach allows considering previous assessments to give personalized meaning to a set of linguistic terms. To this end, the concepts of linguistic perceptual maps and projections among perceptual maps are introduced to model and aggregate reviewers' different profiles. Finally, we compute a measure of consensus to capture the agreement among reviewers' opinions. All these concepts are applied in a real case example of rating books from Amazon to demonstrate the potential of the methodology in facilitating the evaluation and comparison of different alternatives. Using our methodology, the degree of consensus among customers can be used to rate in a more precise way the books before recommendation.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development - Proceedings of the 25th International Conference of the Catalan Association for Artificial Intelligence
EditorsIsmael Sanz, Raquel Ros, Jordi Nin
PublisherIOS Press BV
Pages291-300
Number of pages10
ISBN (Electronic)9781643684482
DOIs
Publication statusPublished - 19 Oct 2023
Event25th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2023 - Barcelona, Spain
Duration: 25 Oct 2023 → 27 Oct 2023

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume375
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference25th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2023
Country/TerritorySpain
CityBarcelona
Period25/10/23 → 27/10/23

Keywords

  • Consensus measurement
  • Customers' profiles
  • Hesitant Fuzzy Linguistic Terms Sets
  • Rating scales

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