A MULTI-OBJECTIVE GENETIC ALGORITHM FOR TUNING AND RULE SELECTION TO OBTAIN ACCURATE AND COMPACT LINGUISTIC FUZZY RULE-BASED SYSTEMS
Author:
Affiliation:
1. Dept. Computer Science and A.I., University of Granada, Granada, E-18071, Spain
2. Dept. Computer Science, University of Jaen, Jaen, E-23071, Spain
Abstract
Publisher
World Scientific Pub Co Pte Lt
Subject
Artificial Intelligence,Information Systems,Control and Systems Engineering,Software
Link
https://www.worldscientific.com/doi/pdf/10.1142/S0218488507004868
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1. Hybrid learning models to get the interpretability–accuracy trade-off in fuzzy modeling
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3. Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction
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