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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
262
Chapter 7 Fuzzy Clustering
are close to the centroid of the cluster. This approach would induce rules
such as the following.
If a is somewhat around C1(a)
and b is somewhat around C1(b)
then c is somewhat near C1(c)
If a is very around C2(a)
and b is very around C2(b)
then c is very near C1(c)
If a is around C1(a)
and b is around C1(b)
then c is near C1(c)
The combined truth of the predicate expressions will cause the rule with
the greatest degree of specificity to contribute more strongly to the out-
come and thus provide a higher degree of evidence for the final outcome.
Other possible approaches to using hedges and contract intensifiers or
dilutors can be employed to produce a wide family of possible rules.
7.9 Review
This chapter introduced and explored ...
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Publisher Resources

ISBN: 9780080470597