New challenges: Group decision systems by means of entropy defined through qualitative reasoning structures

Llorenç Roselló, Francesc Prats, Mónica Sánchez, Núria Agell

Research output: Book chapterConference contributionpeer-review

Abstract

This paper introduces the concept of entropy on orders of magnitude qualitative spaces and, consequently, the opportunity to measure the gain or loss of information when working with qualitative descriptions. The results obtained are significant in terms of situations which arise naturally in many real applications when dealing with different levels of precision. A method that enables ambiguous values to be included in analysis and permits summarizing information can be defined. The entropy allows measuring the consensus of expert opinion by use of a distance.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
PublisherIOS Press
Pages215-222
Number of pages8
Edition1
ISBN (Print)9781586039257
DOIs
Publication statusPublished - 2008
Externally publishedYes

Publication series

NameFrontiers in Artificial Intelligence and Applications
Number1
Volume184
ISSN (Print)0922-6389

Keywords

  • Entropy
  • Information
  • Magnitude Order Spaces
  • Qualitative Reasoning

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