New Methods for Uncertainty Representations in Neuro-Fuzzy Systems

New Methods for Uncertainty Representations in Neuro-Fuzzy Systems

In this paper we discuss a new method for uncertainty representations in neuro-fuzzy systems. Expert uncertainty concerning antecedent fuzzy linguistic values are expressed in the form of linguistic values e.g. roughly, more or less. That idea is incorporated into relational neuro-fuzzy systems. In...

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Bibliographische Detailangaben
Hauptverfasser: Scherer, Rafał, Starczewski, Janusz, Gawęda, Adam
Format: Buchkapitel
Sprache:eng
Schlagworte:
Applied sciences
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Exact sciences and technology
Software
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Beschreibung
Zusammenfassung:In this paper we discuss a new method for uncertainty representations in neuro-fuzzy systems. Expert uncertainty concerning antecedent fuzzy linguistic values are expressed in the form of linguistic values e.g. roughly, more or less. That idea is incorporated into relational neuro-fuzzy systems. In the paper both type-1 and type-2 fuzzy systems are considered. Numerical simulations of the new fuzzy model are presented.
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-24669-5_86