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Abstract: We propose a new linear representation scheme for evolving fuzzy rules using the concept of complete binary tree structures. We also use special genetic operators such as gene addition, gene deletion, and variable length crossover. Results show that using these special operators along with the common mutation operator produce useful and minimal structure modifications to the fuzzy expression tree represented by the chromosome. The proposed method (representation and operators) is tested... (Update)
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BibTeX entry: (Update)
@misc{ gomez-complete,
author = "Jonatan Gomez and Dipankar Dasgupta and Olfa Nasaroui and Fabio Gonzalez",
title = "Complete Expression Trees for Evolving Fuzzy Classifier Systems with Genetic
Algorithms And Application to Network intrusion Detection",
url = "citeseer.ist.psu.edu/gomez02complete.html" }
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7 A New Evolutionary Approach to Web Usage and Context Sensiti.. (context) - Nasraoui, Krishnapuram - 2002
5 Automatic Web User Profiling and Personalization using Robus.. - Nasraoui, Krishnapuram et al. - 2002
5 Completeness and consistency conditions for learning fuzzy r.. - Gonzalez, Prez - 1998 ACM
2 Linguistic Rule Extraction by Genetics-Based Machine Learnin.. (context) - Ishibuchi, Nakashima - 2000 DBLP
1 Using Competitive Operators and a Local Selection Scheme in .. (context) - Gomez, Dasgupta - 2002 DBLP
1 Evolving Fuzzy Rules for Intrusion (context) - Gomez, Dasgupta - 2002
1 Lopes and (context) - Bojarczuk - 1999
1 A Comparison of Prediction (context) - Lim, Loh - 1997
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