Comparison of different fitness functions in genetic fuzzy rule selection
暂无分享,去创建一个
[1] Hisao Ishibuchi,et al. Effects of discrete objective functions with different granularities on the search behavior of EMO algorithms , 2012, GECCO '12.
[2] Hisao Ishibuchi,et al. Classification and modeling with linguistic information granules - advanced approaches to linguistic data mining , 2004, Advanced information processing.
[3] Francisco Herrera,et al. Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions , 2011, Soft Comput..
[4] Francisco Herrera,et al. Genetic fuzzy systems: taxonomy, current research trends and prospects , 2008, Evol. Intell..
[5] T. Ho,et al. Data Complexity in Pattern Recognition , 2006 .
[6] Hisao Ishibuchi,et al. Evolutionary many-objective optimization: A short review , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[7] Hisao Ishibuchi,et al. Three-objective genetics-based machine learning for linguistic rule extraction , 2001, Inf. Sci..
[8] José M. Alonso,et al. HILK++: an interpretability-guided fuzzy modeling methodology for learning readable and comprehensible fuzzy rule-based classifiers , 2011, Soft Comput..
[9] Hisao Ishibuchi,et al. Selecting fuzzy if-then rules for classification problems using genetic algorithms , 1995, IEEE Trans. Fuzzy Syst..
[10] Hisao Ishibuchi,et al. Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning , 2007, Int. J. Approx. Reason..
[11] Jesús Alcalá-Fdez,et al. A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning , 2011, IEEE Transactions on Fuzzy Systems.
[12] Jesús Alcalá-Fdez,et al. KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework , 2011, J. Multiple Valued Log. Soft Comput..
[13] Francisco Herrera,et al. Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures , 2011, Inf. Sci..
[14] Hisao Ishibuchi,et al. Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining , 2004, Fuzzy Sets Syst..
[15] José M. Alonso,et al. Special issue on interpretable fuzzy systems , 2011, Inf. Sci..
[16] Jesús Alcalá-Fdez,et al. A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and Its Interaction With Rule Selection , 2007, IEEE Transactions on Fuzzy Systems.