On the notion of statistical fuzzy entropy

J. Berg, van den, U. Kaymak

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review


After a recapitulation of several approaches for defining either statistical or fuzzy entropy and the presentation of an appropriate probabilistic fuzzy framework, we introduce the notion of statistical fuzzy entropy where both fuzzy (or linguistic) uncertainty and probabilistic (and statistical) uncertainty can be modelled and quantified. We investigate certain properties of statistical fuzzy entropy and show its usefulness for developing statistical fuzzy decision trees.
Original languageEnglish
Title of host publicationSoft methodology and random information systems
EditorsM. López-Diaz, M.A. Gil, P. Grzegorzewski, O. Hryniewicz, J. Lawry
Place of PublicationBerlin
ISBN (Print)978-3-540-44465-7
Publication statusPublished - 2004

Publication series

NameAdvances in Soft Computing
ISSN (Print)1615-3871


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