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A neuro-fuzzy network to generate human-understandable knowledge from data.

, , and . Cogn. Syst. Res., 3 (2): 125-144 (2002)

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Crowd Detection in Aerial Images Using Spatial Graphs and Fully-Convolutional Neural Networks., , , and . IEEE Access, (2020)Interpretability assessment of fuzzy knowledge bases: A cointension based approach., , , and . Int. J. Approx. Reason., 52 (4): 501-518 (2011)Fuzzy Information Granules: a Compact, Transparent and Efficient Representation., , and . J. Adv. Comput. Intell. Intell. Informatics, 7 (2): 160-168 (2003)Fine-Tuning the Fuzziness of Strong Fuzzy Partitions through PSO., and . Int. J. Comput. Intell. Syst., 13 (1): 1415-1428 (2020)Part-Based Data Analysis with Masked Non-negative Matrix Factorization., , and . ICCSA (6), volume 8584 of Lecture Notes in Computer Science, page 440-454. Springer, (2014)Q-matrix Extraction from Real Response Data Using Nonnegative Matrix Factorizations., , , , and . ICCSA (1), volume 10404 of Lecture Notes in Computer Science, page 203-216. Springer, (2017)Improving the Classification Ability of DC* Algorithm., , , and . WILF, volume 4578 of Lecture Notes in Computer Science, page 145-151. Springer, (2007)Efficiency improvement of DC∗ through a Genetic Guidance., , , and . FUZZ-IEEE, page 1-6. IEEE, (2017)Towards fuzzy granulation in OWL ontologies., and . CILC, volume 1459 of CEUR Workshop Proceedings, page 144-158. CEUR-WS.org, (2015)Some Fundamental Interpretability Issues in Fuzzy Modeling., , and . EUSFLAT Conf., page 100-105. Universidad Polytecnica de Catalunya, (2005)