Using L-fuzzy sets to introduce information theory into qualitative reasoning

Francesc Prats, Llorenç Roselló, Mónica Sánchez, N. Agell

Research output: Indexed journal article Articlepeer-review

8 Citations (Scopus)

Abstract

We formally construct the extended set of qualitative labels L over a well-ordered set. The qualitative descriptions of a given set are defined as L-fuzzy sets. In the case where the well-ordered set is finite, a distance between L-fuzzy sets is introduced based on the properties of the lattice L. The concept of the information contained in a qualitative label is introduced, leading to a formal definition of the entropy of an L-fuzzy set as a Lebesgue integral. In the discrete case, this integral becomes a weighted average of the information of the labels, corresponding to the Shannon entropy in information theory.

Original languageEnglish
Pages (from-to)73-90
Number of pages18
JournalFuzzy Sets and Systems
Volume236
DOIs
Publication statusPublished - 1 Feb 2014
Externally publishedYes

Keywords

  • Information sciences
  • L-fuzzy sets
  • Measures of information
  • Qualitative reasoning

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