Thanks to their modeling and interpretability capabilities, Mamdani-type fuzzy rule-based systems (FRBSs) have been widely employed in several application domains. Often, the design of an FRBS involves two phases: first, universal rules are derived from a high-level and context-free knowledge, then these rules are instantiated to a specific context so as to generate a working FRBS. In this paper, we review existing approaches to context adaptation of FRBSs. We develop a uniform notation and a common framework for these approaches, and we highlight open issues and future research topics.

A Survey of Approaches to Context Adaptation of Fuzzy Systems

LAZZERINI, BEATRICE;MARCELLONI, FRANCESCO;
2007-01-01

Abstract

Thanks to their modeling and interpretability capabilities, Mamdani-type fuzzy rule-based systems (FRBSs) have been widely employed in several application domains. Often, the design of an FRBS involves two phases: first, universal rules are derived from a high-level and context-free knowledge, then these rules are instantiated to a specific context so as to generate a working FRBS. In this paper, we review existing approaches to context adaptation of FRBSs. We develop a uniform notation and a common framework for these approaches, and we highlight open issues and future research topics.
2007
9780889867086
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/196374
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