
1.7 Evolving Distributed Fuzzy Models
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1.7 Evolving Distributed Fuzzy Models
Because fuzzy sets can represent approximate patterns, fuzzy models
are especially easy to evolve using knowledge discovery techniques.
Rule indication — the isolation and extraction of if-then rules from
large databases — provides a way of creating a prototypical fuzzy model
from patterns occurring naturally in data. Figure 1.12 illustrates how
this step is used to combine knowledge from several distributed data
sources.
By incorporating a rule induction step in your business models, you
can maintain currency with the external world. As the long-term behav-
ior of your customers ...