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Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions

✍ Scribed by F. Herrera; M. Lozano


Publisher
Springer
Year
2003
Tongue
English
Weight
396 KB
Volume
7
Category
Article
ISSN
1432-7643

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In this paper we introduce the use of contextual transformation functions to adjust membership functions in fuzzy systems. We address both linear and nonlinear functions to perform linear or nonlinear context adaptation, respectively. The key issue is to encode knowledge in a standard frame of refer