SCI2S Thematic Public WebsitesSCI2S Thematic Public Websites SCI2S Complementary Material Websites   SCI2S Thematic Public Websites
Icono GFSGenetic
Fuzzy
Systems		 Icono Computing with Words in DMComputing
with Words in
Decision Making		 Icono Statistical Inference in Computational Intelligence and Data MiningStatistical Inference in
Computational Intelligence
and Data Mining		 Icono HindexH-index
&
Variants
Icono MV in DMMissing Values
in
Data Mining		 Evolutionary Algorithms and other Metaheuristics for Continuous Optimization ProblemsE. A. & Metaheur.
for Continuous
Optim. Problems		 Icono Interpretability of FRBSsInterpretability
of
FRBSs		 Icon PRPrototype Reduction
in
Nearest Neighbor Classification

Latest News

Edited Book Cover

A new book Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision has been edited by H. Bustice, F. Herrera and J. Montero.

 

               International Journal Papers by J. Casillas

Number Of Publications: 30 Jump to Graph

Jump to Year: 2013 (2), 2011 (1), 2010 (1), 2009 (8), 2008 (1), 2007 (4), 2006 (1), 2005 (3), 2004 (1), 2003 (2), 2002 (2), 2001 (4)

Bolita Year 2013 (2):

Bolita[1564] A.D. Benítez, J. Casillas, Multi-Objective Genetic Learning of Serial Hierarchical Fuzzy Systems for Large-Scale Problems. Soft Computing 17:1 (2012) 165-194 doi: 10.1007/s00500-012-0909-2. iconPdf.png

Bolita In Press:

Bolita[1563] A. Orriols-Puig, F.J. Martínez-López, J. Casillas, N. Lee, A soft-computing-based method for the automatic discovery of fuzzy rules in databases: Uses for academic research and management support in marketing. Journal of Business Research, doi: 10.1016/j.jbusres.2012.02.033., in press (2013). iconPdf.png

Bolita Year 2011 (1):

Bolita[1358] A. Orriols-Puig, J. Casillas, Fuzzy knowledge representation study for incremental learning in data streams and classification problems. Soft Computing - A Fusion of Foundations, Methodologies and Applications 15:12 (2011) 2389-2414, doi: 10.1007/s00500-010-0668-x. iconPdf.png

Bolita Year 2010 (1):

Bolita[1071] M. Mucientes, J. Alcalá-Fdez, R. Alcalá, J. Casillas, A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems. Expert Systems With Applications 37:2 (2010) 1471–1493, doi: 10.1016/j.eswa.2009.06.095. iconPdf.png

Bolita Year 2009 (8):

Bolita[0828] F.J. Martínez-López, J. Casillas, Marketing intelligent systems for consumer behaviour modelling by a descriptive induction approach based on genetic fuzzy systems. Industrial Marketing Management 38:7 (2009) 714-731, doi: 10.1016/j.indmarman.2008.02.003. iconPdf.png

Bolita[1088] L. Sánchez, I. Couso, J. Casillas, Genetic learning of fuzzy rules based on low quality data. Fuzzy Sets and Systems 160:17 (2009) 2524-2552 doi: 10.1016/j.fss.2009.03.004. iconPdf.png

Bolita[0829] J. Casillas, F.J. Martínez-López, A knowledge discovery method based on genetic fuzzy systems for obtaining consumer behaviour patterns. An empirical application to a web-based trust model. International Journal of Management and Decision Making 10:5-6 (2009) 402-428 doi: 10.1504/IJMDM.2009.026685. iconPdf.png

Bolita[1052] A. Orriols-Puig, J. Casillas, F.J. Martínez-López, Unsupervised learning of fuzzy association rules for consumer behavior modeling. Mathware & Soft Computing 16:1 (2009) 29-43. iconPdf.png

Bolita[0839] A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla, Fuzzy-UCS: a Michigan-style learning fuzzy-classifier system for supervised learning. IEEE Transactions on Evolutionary Computation 13:2 (2009) 260-283 doi: 10.1109/TEVC.2008.925144. iconPdf.png

Bolita[0840] J. Casillas, P. Martínez, A.D. Benítez, Learning consistent, complete and compact sets of fuzzy rules in conjunctive normal form for regression problems. Soft Computing 13:5 (2009) 451-465, doi: 10.1007/s00500-008-0361-5. iconPdf.png

Bolita[0771] J. Casillas, F.J. Martínez-López, Mining Uncertain Data with Multiobjective Genetic Fuzzy Systems to Be Applied in Consumer Behaviour Modelling. Expert Systems with Applications 36:2 (2009) 1645-1659, doi: doi:10.1016/j.eswa.2007.11.035. iconPdf.png

Bolita[0650] M. Mucientes, R. Alcalá, J. Alcalá-Fdez, J. Casillas, Learning Weighted Linguistic Rules to Control an Autonomous Robot. International Journal of Intelligent Systems 24:3 (2009) 226–251 doi: 10.1002/int.20334. iconPdf.png

Bolita Year 2008 (1):

Bolita[0878] A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla, Genetic-based machine learning systems are competitive for pattern recognition. Evolutionary Intelligence 1:3 (2008) 209-232, doi: 10.1007/s12065-008-0013-9. iconPdf.png

Bolita Year 2007 (4):

Bolita[0825] J. Casillas, F.J. Martínez-López, Knowledge Discovery by Genetic Fuzzy Systems Applied to Consumer Behavior Modelling. Romanian Marketing Review 3 (2007) 111-142. iconPdf.png

Bolita[0344] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera, Local Identification of Prototypes for Genetic Learning of Accurate TSK Fuzzy Rule-Based Systems. International Journal of Intelligent Systems 22:9 (2007) 909-941, doi:10.1002/int.20232. iconPdf.png

Bolita[0663] J. Casillas, B. Carse, L. Bull, Fuzzy-XCS: a Michigan genetic fuzzy system. IEEE Transactions on Fuzzy Systems 15:4 (2007) 536-550, doi:10.1109/TFUZZ.2007.900904. iconPdf.png

Bolita[0564] M. Mucientes, J. Casillas, Quick design of fuzzy controllers with good interpretability in mobile robotics. IEEE Transactions on Fuzzy Systems 15:4 (2007) 636-651, doi:10.1109/TFUZZ.2006.889889. iconPdf.png

Bolita Year 2006 (1):

Bolita[0343] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera, Hybrid learning models to get the interpretability-accuracy trade-off in Fuzzy Modelling. Soft Computing 10:9 (2006) 717-734, doi: 10.1007/s00500-005-0002-1. iconPdf.png

Bolita Year 2005 (3):

Bolita[0340] R. Alcalá, J. Casillas, O. Cordón, A. González, F. Herrera, A Genetic Rule Weighting and Selection Process for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. Engineering Applications of Artificial Intelligence 18:3 (2005) 279-296, doi: 10.1016/j.engappai.2004.09.007. iconPdf.png

Bolita[0347] J. Casillas, O. Cordón, I. Fernández de Viana, F. Herrera, Learning Cooperative Linguistic Fuzzy Rules Using the Best-Worst Ant Systems Algorithm. International Journal of Intelligent Systems 20 (2005) 433-452, doi: 10.1002/int.20074. iconPdf.png

Bolita[0339] J. Casillas, O. Cordón, M.J. del Jesús, F. Herrera, Genetic Tuning of Fuzzy Rule Deep Structures Preserving Interpretability and Its Interaction With Fuzzy Rule Set Reduction. IEEE Trans. on Fuzzy Systems 13:1 (2005) 13-29, doi: 10.1109/TFUZZ.2004.839670. iconPdf.png

Bolita Year 2004 (1):

Bolita[0454] J. Casillas, F.J. Martínez-López, F.J. Martínez, Fuzzy association rules for estimating consumer behaviour models and their application to explaining trust in Internet shopping. Fuzzy Economic Review IX:2 (2004) 3-26.

Bolita Year 2003 (2):

Bolita[0001] R. Alcalá, J.M. Benítez, J. Casillas, O. Cordón, R. Pérez, Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms. Applied Intelligence 18:2 (2003) 155-177, doi: 10.1023/A:1021986309149. iconPdf.png

Bolita[0013] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Linguistic Modeling with Weighted Double-Consequent Fuzzy Rules Based on Cooperative Coevolutionary Learning. Integrated Computer Aided Engineering 10 (4) (2003) 343-355. iconPdf.png

Bolita Year 2002 (2):

Bolita[0023] J. Casillas, O. Cordón, F. Herrera, COR: A Methodology to Improve Ad Hoc Data-Driven Linguistic Rule Learning Methods by Inducing Cooperation Among Rules. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics 32:4 (2002) 526-537, doi: 10.1109/TSMCB.2002.1018771. iconPdf.png

Bolita[0022] L. Sánchez, J. Casillas, O. Cordón, M.J. Del Jesus, Some Relationships Between Fuzzy and Random Set-Based Classifiers and models. International Journal of Approximate Reasoning 29:2 (2002) 175-213, doi: 10.1016/S0888-613X(01)00063-9. iconPdf.png

Bolita Year 2001 (4):

Bolita[0035] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Improvement to the Cooperative Rules Methodology by Using the Ant Colony System Algorithm. Mathware and Soft Computing Vol 8:3 (2001) 321-335. iconPdf.png

Bolita[0019] R. Alcalá, J. Casillas, J.L. Castro, A. Gonzalez, F. Herrera, A Multicriteria Genetic Tuning for Fuzzy Logic Controllers. Mathware and Soft Computing, Vol. 8:2 (2001) 179-201. iconPdf.png

Bolita[0017] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Building Fuzzy Graphs: Features and Taxonomy of Learning Non-Grid-Oriented Fuzzy Rule-Based Systems. International Journal of Intelligent Fuzzy Systems, 11 (2001) 99-119. iconPdf.png

Bolita[0032] J. Casillas, O. Cordón, F. Herrera, M.J. Del Jesus, Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process for High-Dimensional Problems. Information Sciences 136:1-4 (2001) 135-157. iconPdf.png

 

© Copyright 2003-2013, SCI2S (Soft Computing and Intelligent Information Systems)
About the Webmaster Team