Abstract
Fuzzy multimodeling is concerned with the design and utilization of families rather than a single model. The intent is to approximate data that are originated by phenomena whose nature is more relation based than function oriented. In general, fuzzy multimodels comprise a collection of local models M/sub 1/, M/sub 2/,/spl middot//spl middot//spl middot/,M/sub C/ along with the relevant mechanisms of their triggering and aggregating, aimed at assuring a suitable interaction between these models. The idea of multimodeling is contrasted with some other approaches to fuzzy modeling available in the current literature. The algorithmic details are laid down and illustrated through several detailed simulation studies.