A Survey of Approaches to Context Adaptation of Fuzzy Systems

A. Botta, B. Lazzerini, F. Marcelloni (Italy), and D.C. Stefanescu (USA)


Soft computing, fuzzy logic control, system identification, knowledge-based systems.


Thanks to their modeling and interpretability capabilities, Mamdani-type fuzzy rule-based systems (FRBSs) have been widely employed in several application domains. Of ten, the design of an FRBS involves two phases: first, uni versal 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 fu ture research topics.

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