2009 | OriginalPaper | Chapter
Interval-Valued Fuzzy Formal Concept Analysis
Authors : Yassine Djouadi, Henri Prade
Published in: Foundations of Intelligent Systems
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Fuzzy formal concept analysis is concerned with formal contexts expressing scalar-valued fuzzy relationships between objects and their properties. Existing fuzzy approaches assume that the relationship between a given object and a given property is a matter of degree in a scale
L
(generally [0,1]). However, the extent to which “object
o
has property
a
” may be sometimes hard to assess precisely. Then it is convenient to use a sub-interval from the scale
L
rather than a precise value. Such formal contexts naturally lead to interval-valued formal concepts. The aim of the paper is twofold. We provide a sound minimal set of requirements for interval-valued implications in order to fulfill the fuzzy closure properties of the resulting Galois connection. Secondly, a new approach based on a generalization of Gödel implication is proposed for building the complete lattice of all interval-valued formal concepts.