Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
C4.5: programs for machine learning
C4.5: programs for machine learning
Machine Learning
Type inheritance in strongly typed genetic programming
Advances in genetic programming
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
An empirical comparison of four initialization methods for the K-Means algorithm
Pattern Recognition Letters
Interesting Fuzzy Association Rules in Quantitative Databases
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
Evolving Objects: A General Purpose Evolutionary Computation Library
Selected Papers from the 5th European Conference on Artificial Evolution
Strongly typed genetic programming
Evolutionary Computation
Genetic Programming for data classification: partitioning the search space
Proceedings of the 2004 ACM symposium on Applied computing
Evolutionary approaches to fuzzy modelling for classification
The Knowledge Engineering Review
Soft decision trees: A genetically optimized cluster oriented approach
Expert Systems with Applications: An International Journal
A survey on the application of genetic programming to classification
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A gradient-descent-based approach for transparent linguistic interface generation in fuzzy models
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Maximum margin decision surfaces for increased generalisation in evolutionary decision tree learning
EuroGP'11 Proceedings of the 14th European conference on Genetic programming
Inducing diverse decision forests with genetic programming
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
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In this paper we present a new fuzzy decision tree representation for data classification using genetic programming. The new fuzzy representation utilizes fuzzy clusters for handling continuous attributes. To make optimal use of the fuzzy classifications of this representation an extra fitness measure is used. The new fuzzy representation will be compared, using several machine learning data sets, to a similar non-fuzzy representation as well as to some other evolutionary and non-evolutionary algorithms from literature.