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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
522
Index
fuzzy numbers
cluster centers as, 259–260
defined, 70, 153
expectancy of, 69–70, 80,
261, 511–512
fuzzy sets and, 79–83
genetic algorithms and, 95
new product pricing model,
133, 141, 145
fuzzy proposition, 102, 120, 267
fuzzy quantifiers, 70, 77–79
fuzzy rules. See rules
fuzzy set descriptor block,
328–329
fuzzy sets. See also outcome
fuzzy sets; under-generation
fuzzy set
alpha cut thresholds, 88
ambiguity detection, 303
Boolean sets comparison,
170–172
cluster centers, 259–260
collections of, 83–85
combining, 178–180
compactness, 492–493
consequent, 97, 102–103, 266
control blocks and, 326
defined, 22n, 70, 170–171,
194–196
fuzzy logic and, 69
fuzzy numbers, 79–83
genetic tuning and, 488–489
granularity of, 489–492
hedges, 85–88, 144n
indexes and, 333
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Publisher Resources

ISBN: 9780080470597