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, knowledgebased 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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