Corrado Mencar
TitoloCitata daAnno
Interpretability constraints for fuzzy information granulation
C Mencar, AM Fanelli
Information Sciences 178 (24), 4585-4618, 2008
Interpretability assessment of fuzzy knowledge bases: A cointension based approach
C Mencar, C Castiello, R Cannone, AM Fanelli
International Journal of Approximate Reasoning 52 (4), 501-518, 2011
Knowledge discovery by a neuro-fuzzy modeling framework
G Castellano, C Castiello, AM Fanelli, C Mencar
Fuzzy sets and Systems 149 (1), 187-207, 2005
Interpretability of fuzzy systems: Current research trends and prospects
JM Alonso, C Castiello, C Mencar
Springer Handbook of Computational Intelligence, 219-237, 2015
Similarity-based fuzzy clustering for user profiling
G Castellano, AM Fanelli, C Mencar, MA Torsello
2007 IEEE/WIC/ACM International Conferences on Web Intelligence andá…, 2007
An empirical risk functional to improve learning in a neuro-fuzzy classifier
G Castellano, AM Fanelli, C Mencar
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34á…, 2004
A neuro-fuzzy network to generate human-understandable knowledge from data
G Castellano, AM Fanelli, C Mencar
Cognitive Systems Research 3 (2), 125-144, 2002
LODAP: a log data preprocessor for mining web browsing patterns
G Castellano, AM Fanelli, MA Torsello
Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificialá…, 2007
Distinguishability quantification of fuzzy sets
C Mencar, G Castellano, AM Fanelli
Information Sciences 177 (1), 130-149, 2007
Generation of interpretable fuzzy granules by a double-clustering technique
G Castellano, AM Fanelli, C Mencar
Archives of Control Science 12 (4), 397-410, 2002
Subtractive clustering for seeding non-negative matrix factorizations
G Casalino, N Del Buono, C Mencar
Information Sciences 257, 369-387, 2014
A fuzzy clustering approach for mining diagnostic rules
G Castellano, AM Fanelli, C Mencar
SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systemsá…, 2003
Design of Transparent Mamdani Fuzzy Inference Systems.
G Castellano, AM Fanelli, C Mencar
HIS, 468-477, 2003
Some Fundamental Interpretability Issues in Fuzzy Modeling.
C Mencar, G Castellano, AM Fanelli
EUSFLAT Conf., 100-105, 2005
Design of fuzzy rule-based classifiers with semantic cointension
C Mencar, C Castiello, R Cannone, AM Fanelli
Information Sciences 181 (20), 4361-4377, 2011
Theory of fuzzy information granulation: Contributions to interpretability issues
C Mencar
University of Bari, 3-8, 2005
On the role of interpretability in fuzzy data mining
C Mencar, G Castellano, AM Fanelli
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systemsá…, 2007
Modeling interpretable fuzzy rule-based classifiers for medical decision support
JM Alonso, C Castiello, M Lucarelli, C Mencar
Data Mining: Concepts, Methodologies, Tools, and Applications, 1064-1081, 2013
DCf: a double clustering framework for fuzzy information granulation
G Castellano, AM Fanelli, C Mencar
2005 IEEE International Conference on Granular Computing 2, 397-400, 2005
Deriving prediction intervals for neuro-fuzzy networks
C Mencar, G Castellano, AM Fanelli
Mathematical and computer modelling 42 (7-8), 719-726, 2005
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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