Papers published in Journals (J. Casillas)

Number of Results: 40

Jump to Year: 2018, 2016, 2014, 2013, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001

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2018 (3)

• [2339] R. Rekik, I. Kallel, J. Casillas, A.M. Alimi. Assessing web sites quality: a systematic literature review by text and association rules mining. International Journal of Information Management 38:1 (2018) 201-216. doi: 10.1016/j.ijinfomgt.2017.06.007
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• [2409] C. Koulamas, A.P. Kalogeras, R. Pacheco-Torres, J. Casillas, L. Ferrarini. Suitability analysis of modeling and assessment approaches in energy efficiency in buildings. Energy and Buildings 158 (2018) 1662-1682. doi: 10.1016/j.enbuild.2017.12.002
  
• [2410] E. Ruiz, J. Casillas. Adaptive fuzzy partitions for evolving association rules in big data stream. International Journal of Approximate Reasoning 93 (2018) 463-486. doi: 10.1016/j.ijar.2017.11.014
  

2016 (4)

• [2005] A. Sancho-Asensio, A. Orriols-Puig, J. Casillas. Evolving association streams. Information Sciences 334-335 (2016) 250-272. doi: 10.1016/j.ins.2015.11.043
  
• [2340] H. Velarde, C. Santiesteban, A. Garcia, J. Casillas. Analyzing the effect of variables in the software development effort estimation. IEEE Latin America Transactions 14:8 (2016) 3797-3803. doi: 10.1109/TLA.2016.7786366
  
• [2341] H. Velarde, C. Santiesteban, A. Garcia, J. Casillas. Software development effort estimation based-on multiple classifier system and lines of code. IEEE Latin America Transactions 14:8 (2016) 3907-3913. doi: 10.1109/TLA.2016.7786379
  
• [2342] R. Rekik, I. Kallel, J. Casillas, A.M. Alimi. Using multiple criteria decision making approaches to assess the quality of web sites. International Journal of Computer Science and Information Security 14:7 (2016) 747-761.
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2014 (1)

• [1838] H.M. Kammoun, I. Kallel, J. Casillas, A. Abraham, A.M. Alimi. Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model. Transportation Research Part C: Emerging Technologies 42 (2014) 147–167. doi: 10.1016/j.trc.2014.03.003
  

2013 (4)

• [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 66:9 (2013) 1332-1337. doi: 10.1016/j.jbusres.2012.02.033
  
• [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
  
• [1839] F.J. Martínez-López, J. Casillas. , Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights. Industrial Marketing Management 42:4 (2013) 489-495. doi: 10.1016/j.indmarman.2013.03.001
  
• [1840] A. Orriols-Puig, F.J. Martínez-López, J. Casillas, N. Lee. Unsupervised KDD to creatively support managers' decision making with fuzzy association rules: A distribution channel application. Industrial Marketing Management 42:4 (2013) 532-543. doi: 10.1016/j.indmarman.2013.03.005
  

2011 (1)

• [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
  

2010 (1)

• [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
  

2009 (8)

• [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: 10.1016/j.eswa.2007.11.035
  
• [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
  
• [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
  
• [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
  
• [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
  
• [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
  
• [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.
  
• [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
  

2008 (1)

• [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
  

2007 (4)

• [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
  
• [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
  
• [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
  
• [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.
  

2006 (1)

• [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
  

2005 (3)

• [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
  
• [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
  
• [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
  

2004 (1)

• [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.
  

2003 (2)

• [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
  
• [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.
  

2002 (2)

• [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
  
• [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
  

2001 (4)

• [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.
  
• [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.
  
• [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.
  
• [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.