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Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
book

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

by Earl Cox
February 2005
Beginner to intermediate
540 pages
14h 9m
English
Morgan Kaufmann
Content preview from Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
11.2 Configuration Parameters
493
Related to compactness is the concept of fuzzy set skew or asymmetry.
One or more fuzzy sets must be asymmetric in order to create a variable
term set with differing degrees of compactness (as you can see with fuzzy
sets A01 and A02 in Figure 11.7). In some models, an even higher degree
of skew is necessary to properly represent the patterns in the underlying
data. Figure 11.8 illustrates the patient age variable decomposed into
asymmetric fuzzy sets with a general focus around middle-aged values.
Changing the distribution of fuzzy sets across the domain of a variable
is often a powerful pattern-discovery mechanism
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Publisher Resources

ISBN: 9780080470597