Fuzzy Activation of Rough Cognitive Ensembles Using OWA Operators
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Koen Vanhoof | Rafael Bello | Rafael Falcon | Isel Grau | Gonzalo Nápoles | Ivett E. Fuentes | Marilyn Bello | K. Vanhoof | Rafael Bello | M. Bello | R. Falcon | G. Nápoles | I. Grau | Ivett Fuentes
[1] Yiyu Yao,et al. Three-Way Decision: An Interpretation of Rules in Rough Set Theory , 2009, RSKT.
[2] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[3] Hecht-Nielsen. Theory of the backpropagation neural network , 1989 .
[4] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[5] C. L. Philip Chen,et al. Data-intensive applications, challenges, techniques and technologies: A survey on Big Data , 2014, Inf. Sci..
[6] Witold Pedrycz,et al. Granular computing: an introduction , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
[7] Eibe Frank,et al. Speeding Up Logistic Model Tree Induction , 2005, PKDD.
[8] David W. Aha,et al. Instance-Based Learning Algorithms , 1991, Machine Learning.
[9] Nikunj C. Oza,et al. Decimated input ensembles for improved generalization , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).
[10] Witold Pedrycz,et al. Granular classifiers and their design through refinement of information granules , 2017, Soft Comput..
[11] Ronald R. Yager,et al. On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..
[12] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[13] S. Sathiya Keerthi,et al. Improvements to Platt's SMO Algorithm for SVM Classifier Design , 2001, Neural Computation.
[14] Witold Pedrycz,et al. From Fuzzy Cognitive Maps to Granular Cognitive Maps , 2014, IEEE Trans. Fuzzy Syst..
[15] W S McCulloch,et al. A logical calculus of the ideas immanent in nervous activity , 1990, The Philosophy of Artificial Intelligence.
[16] Francis K. H. Quek,et al. Attribute bagging: improving accuracy of classifier ensembles by using random feature subsets , 2003, Pattern Recognit..
[17] Yali Amit,et al. Shape Quantization and Recognition with Randomized Trees , 1997, Neural Computation.
[18] Yiyu Yao,et al. The superiority of three-way decisions in probabilistic rough set models , 2011, Inf. Sci..
[19] Eibe Frank,et al. Logistic Model Trees , 2003, Machine Learning.
[20] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[21] Ron Kohavi,et al. The Power of Decision Tables , 1995, ECML.
[22] Koen Vanhoof,et al. Rough cognitive ensembles , 2017, Int. J. Approx. Reason..
[23] Bart Kosko,et al. Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..
[24] John G. Cleary,et al. K*: An Instance-based Learner Using and Entropic Distance Measure , 1995, ICML.
[25] Pat Langley,et al. Estimating Continuous Distributions in Bayesian Classifiers , 1995, UAI.
[26] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .
[27] Bart Kosko,et al. Hidden patterns in combined and adaptive knowledge networks , 1988, Int. J. Approx. Reason..
[28] F. Wilcoxon. Individual Comparisons by Ranking Methods , 1945 .
[29] Jerzy W. Grzymala-Busse,et al. Rough Sets , 1995, Commun. ACM.
[30] Tony R. Martinez,et al. Improved Heterogeneous Distance Functions , 1996, J. Artif. Intell. Res..
[31] M. Friedman. The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance , 1937 .
[32] Haijia Shi. Best-first Decision Tree Learning , 2007 .
[33] Koen Vanhoof,et al. Rough Cognitive Networks , 2016, Knowl. Based Syst..
[34] Harry Zhang,et al. A Fast Decision Tree Learning Algorithm , 2006, AAAI.