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Fuzzy Logic with Engineering Applications, Timothy J. Ross, (Ed.); McGraw Hill, New York, 1995, pp 592, ISBN 0-07-053917-0.

. Neurocomputing, 41 (1-4): 187 (2001)

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Designing classifier fusion systems by genetic algorithms., and . IEEE Trans. Evol. Comput., 4 (4): 327-336 (2000)Some Notes on Twenty One (21) Nearest Prototype Classifiers., and . SSPR/SPR, volume 1876 of Lecture Notes in Computer Science, page 1-16. Springer, (2000)Error-Dependency Relationships for the Naïve Bayes Classifier with Binary Features., and . IEEE Trans. Pattern Anal. Mach. Intell., 30 (4): 735-740 (2008)A Bibliographic View on Constrained Clustering., , and . CoRR, (2022)Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy., , and . Multiple Classifier Systems, volume 2364 of Lecture Notes in Computer Science, page 62-71. Springer, (2002)Abstraction and Generalization: Comparing Adaptive Models of Categorization., and . CogSci, cognitivesciencesociety.org, (2020)Fuzzy Logic with Engineering Applications, Timothy J. Ross, (Ed.); McGraw Hill, New York, 1995, pp 592, ISBN 0-07-053917-0.. Neurocomputing, 41 (1-4): 187 (2001)Animal reidentification using restricted set classification.. Ecol. Informatics, (2021)An experimental study on diversity for bagging and boosting with linear classifiers., , and . Inf. Fusion, 3 (4): 245-258 (2002)An RBF network with tunable function shape., and . ICPR, page 645-649. IEEE Computer Society, (1996)