Probabilistic reasoning in fuzzy rule-based systems

J. Berg, van den, U. Kaymak, W.M. Bergh, van den

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademicpeer review

Samenvatting

We concentrate on Takagi—Sugeno (TS) probabilistic fuzzy systems where interpretability of fuzzy systems is combined with the statistical properties of probabilistic systems. After having sketched the general architecture of TS probabilistic fuzzy systems, we present an appropriate mathematical framework and introduce two probabilistic fuzzy reasoning schemes which have a different interpretation but, eventually, yield the same input-output mapping. We illustrate our theoretical considerations by presenting some simulation results concerning a financial time series analysis.
Originele taal-2Engels
TitelSoft methods in probability, statistics and data analysis
RedacteurenP. Grzegorzewski, O. Hryniewicz, M.Å. Gil
Plaats van productieHeidelberg
UitgeverijPhysica-Verlag
Pagina's189-196
ISBN van geprinte versie978-3-7908-1526-9
DOI's
StatusGepubliceerd - 2002

Publicatie series

NaamAdvances in Soft Computing
Volume16
ISSN van geprinte versie1615-3871

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