List of Publications



Books

J. Casillas, F.J. Martínez-López, R. Vicari, F. de la Prieta (Eds.)
Management Intelligent Systems. Second International Symposium
,
Vol. 220 of Advances in Intelligent Systems and Computing, Springer
2013, XII, 142 p., Softcover
ISBN 978-3-319-00569-0
J. Casillas, F.J. Martínez-López, J.M. Corchado (Eds.)
Management Intelligent Systems. First International Symposium
,
Vol. 171 of Advances in Intelligent Systems and Computing, Springer
2012, XII, 336 p., Softcover
ISBN 978-3-642-30863-5
 
J. Casillas, F.J. Martínez-López (Eds.)
Marketing Intelligent Systems using Soft Computing: Managerial and Research Applications
,
Vol. 258 of Studies in Fuzziness and Soft Computing, Springer
2010, XIV, 356 p., Hardcover
ISBN 978-3-642-15605-2
F.J. Martínez-López, J. Casillas, F.J. Martínez,
Sistemas Inteligentes de Marketing para modelado causal
,
Delta Publicaciones, S.L.
2009, XVIII, 388 p., Paperback
ISBN 978-84-92453-30-6
(Title in English: Marketing Intelligent Systems for Causal Modeling)

Table of Contents
 
J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.),
Interpretability issues in fuzzy modeling
,
Vol. 128 of Studies in Fuzziness and Soft Computing, Springer
2003, XIV, 643 p., Hardcover
ISBN 3-540-02932-X

Table of Contents
J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.),
Accuracy improvements in linguistic fuzzy modeling
,
Vol. 129 of Studies in Fuzziness and Soft Computing, Springer
2003, XII, 385 p., Hardcover
ISBN 3-540-02933-8

Table of Contents


Refereed Journal Articles

40.

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 (2017). In press. ISSN 0378-7788. DOI: 10.1016/j.enbuild.2017.12.002

39.

E. Ruiz, J. Casillas, Adaptive fuzzy partitions for evolving association rules in big data stream, International Journal of Approximate Reasoning 93 (2018) 463-486. ISSN 0888-613X. DOI: 10.1016/j.ijar.2017.11.014

38.

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. ISSN 0268-4012. DOI: 10.1016/j.ijinfomgt.2017.06.007

37.

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. ISSN 1548-0992. DOI: 10.1109/TLA.2016.7786379

36.

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. ISSN 1548-0992. DOI: 10.1109/TLA.2016.7786366

35.

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. ISSN 1947-5500. URL: https://www.academia.edu/28235814/Using_Multiple_Criteria_Decision_Making_Approaches_to_Assess_the_Quality_of_Web_Sites

34.

A. Sancho-Asensio, A. Orriols-Puig, J. Casillas, Evolving association streams, Information Sciences 334-335 (2016) 250-272. ISSN 0020-0255. DOI: 10.1016/j.ins.2015.11.043

33.

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. ISSN 0968-090X. DOI: 10.1016/j.trc.2014.03.003

32.

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.  ISSN 0148-2963. DOI: 10.1016/j.jbusres.2012.02.033

31.

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. ISSN 0019-8501. DOI: 10.1016/j.indmarman.2013.03.001

30.

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. ISSN 0019-8501. DOI: 10.1016/j.indmarman.2013.03.005

29.

A.D. Benítez, J. Casillas, Multi-objective genetic learning of serial hierarchical fuzzy systems for large-scale problems, Soft Computing 17:1 (2013) 165-194. ISSN 1134-5632. DOI: 10.1007/s00500-012-0909-2

28.

A. Orriols-Puig, J. Casillas, Fuzzy knowledge representation study for incremental learning in data streams and classification problems, Soft Computing 15:12 (2011) 2389-2414. ISSN 1134-5632. DOI: 10.1007/s00500-010-0668-x

27.

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 (2010) 1471-1493. ISSN 0957-4174. DOI: 10.1016/j.eswa.2009.06.095

26.

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. ISSN 0019-8501. DOI: 10.1016/j.indmarman.2008.02.003

25.

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. ISSN 0019-8501. DOI: 10.1016/j.fss.2009.03.004

24.

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. ISSN 1462-4621. DOI: 10.1504/IJMDM.2009.026685

23.

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. ISSN 1089-778X. DOI: 10.1109/TEVC.2008.925144

22.

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. ISSN 1134-5632. URL: http://ic.ugr.es/Mathware/index.php/Mathware/article/view/353

21.

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. ISSN 0957-4174. DOI: 10.1016/j.eswa.2007.11.035

20.

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. ISSN 0884-8173. DOI: 10.1002/int.20334

19.

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. ISSN 1432-7643. DOI: 10.1007/s00500-008-0361-5

18.

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. ISSN 1864-5909. DOI: 10.1007/s12065-008-0013-9

17.

J. Casillas, F.J. Martínez-López, Knowledge discovery by genetic fuzzy systems applied to consumer behavior modelling, Romanian Marketing Review 3 (2007) 110-141. ISSN 1842-2454. URL: http://www.revistademarketing.ro/?id=revista&p=5

16.

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. ISSN 0884-8173. DOI: 10.1002/int.20232

15.

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. ISSN 1063-6706. DOI: 10.1109/TFUZZ.2006.889889

14.

J. Casillas, B. Carse, L. Bull, Fuzzy-XCS: a Michigan genetic fuzzy system, IEEE Transactions on Fuzzy Systems 15:4 (2007) 536-550. ISSN 1063-6706. DOI: 10.1109/TFUZZ.2007.900904

13.

R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera, Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling, Soft Computing 10:9 (2006) 717-734. ISSN 1432-7643. DOI: 10.1007/s00500-005-0002-1

12.

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. ISSN 0952-1976. DOI: 10.1016/j.engappai.2004.09.007

11.

J. Casillas, O. Cordón, I. Fernández de Viana, F. Herrera, Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm, International Journal of Intelligent Systems 20:4 (2005) 433-452. ISSN 0884-8173. DOI: 10.1002/int.20074

10.

J. Casillas, O. Cordón, M.J. Del Jesus, F. Herrera, Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction, IEEE Transactions on Fuzzy Systems 13:1 (2005) 13-29. ISSN 1063-6706. DOI: 10.1109/TFUZZ.2004.839670

9.

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. ISSN 0924-669X. DOI: 10.1023/A:1021986309149

8.

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. ISSN 1136-0593. URL: http://gandalf.fcee.urv.es/sigef/english/revista/summaries/sum92/abs1.html

7.

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. ISSN 1069-2509. URL: http://iospress.metapress.com/link.asp?id=mhald5fc9xgpnu7t

6.

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. ISSN 1083-4419. DOI: 10.1109/TSMCB.2002.1018771

5.

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. ISSN 0888-613X. DOI: 110.1016/S0888-613X(01)00063-9

4.

R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Improvement to the cooperative rules methodology by using the ant colony system algorithm, Mathware & Soft Computing 8:3 (2001) 321-335. ISSN 1134-5632. URL: http://ic.ugr.es/Mathware/index.php/Mathware/article/view/176

3.

J. Casillas, O. Cordón, M.J. Del Jesus, F. Herrera, Genetic feature selection in a fuzzy rule-based classification system learning process for high dimensional problems, Information Sciences 136:1-4 (2001) 169-191. ISSN 0020-0255. DOI: 10.1016/S0020-0255(01)00147-5

2.

R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Building fuzzy graphs: features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems, Journal of Intelligent and Fuzzy Systems 11:3-4 (2001) 99-119. ISSN 1064-1246. URL: http://iospress.metapress.com/link.asp?id=4aaugu9r2tfxvu02

1.

R. Alcalá, J. Casillas, J.L. Castro, A. González, F. Herrera, A multicriteria genetic tuning for fuzzy logic controllers, Mathware & Soft Computing 8:2 (2001) 179-201. ISSN 1134-5632. URL: http://ic.ugr.es/Mathware/index.php/Mathware/article/view/164


Chapters in Book

12.

A. Orriols-Puig, J. Casillas, Evolution of interesting association rules online with learning classifier systems, in J. Bacardit, W. Browne, J. Drugowitsch, E. Bernadó-Mansilla, M.V. Butz (Eds.), Learning Classifier Systems, (Springer, Heidelberg, Germany, 2010), pp. 21-37. ISBN 978-3-642-17508-4. DOI: 10.1007/978-3-642-17508-4_2.

11.

A. Orriols-Puig, J. Casillas, F.J. Martínez-López, Automatic discovery of potential causal structures in marketing databases based on fuzzy association rules, in J. Casillas, F.J. Martínez-López (Eds.), Marketing intelligent systems using soft computing: managerical and research applications, (Springer, Heidelberg, Germany, 2010), pp. 181-206. ISBN 978-3-642-15605-2. DOI: 10.1007/978-3-642-15606-9_14.

10.

A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla, A comparative study of several genetic-based supervised learning systems, in L. Bull, E. Bernadó-Mansilla, J. Holmes (Eds.), Learning Classifier Systems in Data Mining, (Springer, Heidelberg, Germany, 2008), pp. 205-230. ISBN 978-3-540-78978-9. DOI: 10.1007/978-3-540-78979-6_10.

9.

J. Casillas, F.J. Martínez-López, KDD in Marketing with genetic fuzzy systems, in O. Maimon, L. Rokach (Eds.), Soft Computing for Knowledge Discovery and Data Mining, (Springer, Heidelberg, Germany, 2008), pp. 225-239. ISBN 978-0-387-69934-9. DOI: 10.1007/978-0-387-69935-6_10.

8.

R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Applying rule weight derivation to obtain cooperative rules, in J.M. Benítez, O. Cordón, F. Hoffmann, R. Roy (Eds.), Advances in Soft Computing. Engineering, Design and Manufacturing, (Springer, Heidelberg, Germany, 2003), pp. 139-147. ISBN 1-85233-755-9.

7.

J. Casillas, O. Cordón, F. Herrera, COR methodology: a simple way to obtain linguistic fuzzy models with good interpretability and accuracy, in J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.), Accuracy Improvements in Linguistic Fuzzy Modeling, (Studies in Fuzziness and Soft Computing, Springer, Heidelberg, Germany, 2003), pp. 27-45. ISBN 3-540-02933-8.

6.

J. Casillas, O. Cordón, F. Herrera, L. Magdalena, Accuracy improvements to find the balance interpretability-accuracy in linguistic fuzzy modeling: an overview, in J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.), Accuracy Improvements in Linguistic Fuzzy Modeling, (Studies in Fuzziness and Soft Computing, Springer, Heidelberg, Germany, 2003), pp. 3-24. ISBN 3-540-02933-8.

5.

J. Casillas, O. Cordón, F. Herrera, L. Magdalena, Interpretability improvements to find the balance interpretability-accuracy in fuzzy modeling: an overview, in J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.), Interpretability Issues in Fuzzy Modeling, (Studies in Fuzziness and Soft Computing, Springer, Heidelberg, Germany, 2003), pp. 3-22. ISBN 3-540-02932-X.

4.

R. Alcalá, J.M. Benítez, J. Casillas, J.L. Castro, O. Cordón, A. González, F. Herrera, R. Pérez, Multicriteria genetic tuning for the optimization and control of HVAC systems, in X. Yu, J. Kacprzyk (Eds.), Applied Decision Support with Soft Computing, (Studies in Fuzziness and Soft Computing, Springer, Heidelberg, Germany, 2003), pp. 308-345. ISBN 3-540-02491-3.

3.

R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Techniques for designing and refining linguistic fuzzy models to improve their accuracy, in C.T. Leondes (Ed.), Intelligent Systems: Technology and Applications, Vol. II: Fuzzy systems, neural networks, and expert systems (CRC Press, Boca Raton, USA, 2002), pp. 143-180. ISBN 0-8493-1121-7.

2.

J. Casillas, O. Cordón, F. Herrera, Different approaches to induce cooperation in fuzzy linguistic models under the COR methodology, in B. Bouchon-Meunier, J. Gutiérrez-Ríos, L. Magdalena, R.R. Yager (Eds.), Techniques for Constructing Intelligent Systems, Vol. 1 (Physica-Verlag, Heidelberg, Germany, 2002), pp. 321-334. ISBN 3-7908-1454-7.

1.

R. Alcalá, J. Casillas, O. Cordón, F. Herrera, J.S.I. Zwir, Learning and tuning fuzzy rule-based systems for linguistic modeling, in C.T. Leondes (Ed.), Knowledge-Based Systems: Techniques and Applications, Vol. 3 (Academic Press, San Diego, USA, 2000), pp. 889-941. ISBN 0-12-443878-4.


Contributions to International Conferences (Proceedings and Springer Lecture Notes Series)

43.

E. Ruiz, R. Pacheco-Torres, J. Casillas, Energy Consumption Modeling by Machine Learning from Daily Activity Metering in a Hospital, 22nd IEEE International Conference on Emerging Technologies And Factory Automation, Limassol, Cyprus (2017).

42.

F.J. Marín, J. Casillas, F.J. Martínez-López, MarkiS: a marketing intelligent system software application for causal modeling, 1st International Symposium on Management Intelligent Systems, Salamanca, Spain (2012). J. Casillas, F.J. Martínez-López, J.M. Corchado (Eds.), Management Intelligent Systems - First International Symposium, Advances in Intelligent Systems and Computing 171 (2012) 165-174.

41.

K. Kiliç, J. Casillas, Hybrid genetic-fuzzy system modeling application in innovation management, 1st International Symposium on Management Intelligent Systems, Salamanca, Spain (2012). J. Casillas, F.J. Martínez-López, J.M. Corchado (Eds.), Management Intelligent Systems - First International Symposium, Advances in Intelligent Systems and Computing 171 (2012) 25-34.

40.

F.J. Marín, J. Casillas, M. Mucientes, A.A. Transeth, S.A. Fjerdingen, I. Schjølberg, Learning intelligent controllers for path-following skills on snake-like robots, 4th International Conference on Intelligent Robotics and Applications, Aachen, Germany (2011). S. Jeschke. H. Liu, D. Schilbert (Eds.), Proceedings of the 4th International Conference on Intelligent Robotics and Applications - Part II, Lecture Notes in Artificial Intelligence, LNAI 7102 (2011) 525-535.

39.

M. González, J. Casillas, C. Morell, Dealing with three uncorrelated criteria by many-objective genetic fuzzy systems, IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems, Paris, France (2011).

38.

H. M. Kammoun, I. Kallel, J. Casillas, A. M. Alimi, Improvement of the road traffic management by an ant-hierarchical fuzzy system, IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, Paris, France (2011).

37.

H. M. Kammoun, I. Kallel, A. M. Alimi, J. Casillas, An adaptive vehicle guidance system instigated from ant colony behavior, 2010 IEEE International Conference on Systems, Man and Cybernetics (SMC 2010), Istanbul, Turkey (2010).

36.

A. Orriols-Puig, F.J. Martínez-López, J. Casillas, N. Lee, A Soft-Computing-based method for automatic discovering of fuzzy rules in databases: uses for academic research and management support in marketing, Global Marketing Conference, Tokyo, Japan (2010).

35.

M. González, J. Casillas, C. Morell, SIFT-SS: an advanced steady-state multi-objective genetic fuzzy system, 5th International Conference on Hybrid Artificial Intelligence Systems, San Sebastian, Spain (2010). E. Corchado, M. Graña Romay, A.M. Savio (Eds.), Hybrid Artificial Intelligence Systems - Part II, Lecture Notes in Computer Science, LNCS 6077 (2010) 1-8.

34.

J. Casillas, Efficient multi-objective genetic tuning of fuzzy models for large-scale regression problems, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009), Jeju, Korea (2009) 1712-1717.

33.

A.D. Benítez, J. Casillas, Genetic learning of serial hierarchical fuzzy systems for large-scale problems, Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference (IFSA-EUSFLAT 2009), Lisbon, Portugal (2009) 1751-1756.

32.

J. Casillas, Embedded genetic learning of highly interpretable fuzzy partitions, Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference (IFSA-EUSFLAT 2009), Lisbon, Portugal (2009) 1631-1636.

31.

H. M. Kammoun, I. Kallel, J. Casillas, A. M. Alimi, A road traffic multiagent simulation using TurtleKit under MadKit, 9th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2008), Zakopane, Poland (2008) 503-514.

30.

A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla, Approximate versus linguistic representation in Fuzzy-UCS, 3rd International Workshop on Hybrid Artificial Intelligence Systems (HAIS 2008), Burgos, Spain (2008). E. Corchado, A. Abraham, W. Pedrycz (Eds.), Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, LNCS 5271 (2008) 722-729.

29.

A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla, First approach toward on-line evolution of association rules with learning classifier systems, 11th International Workshop on Learning Classifier Systems (IWLCS 2008) within the Genetic and Evolutionary Computation Conference (GECCO 2008), Atlanta, Georgia, USA (2008) 2031-2038.

28.

J. Casillas, A. Orriols-Puig, E. Bernadó-Mansilla, Toward evolving consistent, complete, and compact fuzzy rule sets for classification problems, 3rd International Workshop on Genetic and Evolving Fuzzy Systems (IWGEFS 2008), Witten-Bommerholz, Germany (2008) 89-94.

27.

J. Casillas, P. Martínez, Consistent, complete and compact generation of DNF-type fuzzy rules by a Pittsburgh-style genetic algorithm, Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London, UK (2007) 1745-1750.

26.

A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla, Fuzzy-UCS: preliminary results, 10th International Workshop on Learning Classifier Systems (IWLCS 2007) within the Genetic and Evolutionary Computation Conference (GECCO 2007), London, UK (2007) 2871-2874.

25.

J. Casillas, F.J. Martínez-López, Consumer modeling by multiobjective genetic fuzzy systems: a descriptive rule induction approach, Proceedings of the 36th European Marketing Academy Conference (EMAC 2007), Reykjavik, Iceland (2007).

24.

L. Sánchez, I. Couso, J. Casillas, Modeling vague data with genetic fuzzy systems under a combination of crisp and imprecise criteria, Proceedings of the First IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM 2007), Honolulu, Hawaii, USA (2007) 30-37.

23.

A.D. Benítez, J. Casillas, Continuous optimization by evolving probability density functions with a two-island model, 2nd International Conference on Natural Computation (ICNC 2006), Xi'an, China (2006). L. Jiao, L. Wang, X. Gao, J. Liu, F. Wu (Eds.), Advances in Natural Computation. Part I, Lecture Notes in Computer Science, LNCS 4221 (2006) 796-805.

22.

L. Sánchez, I. Couso, J. Casillas, A multiobjective genetic fuzzy system with imprecise probability fitness for vague data, Proceedings of the 2nd International Symposium on Evolving Fuzzy Systems (EFS 2006), Lake District, United Kingdom (2006) 131-136.

21.

J. Casillas, L. Sánchez, Knowledge extraction from fuzzy data for estimating consumer behavior models, Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2006), Vancouver, Canada (2006) 572-578.

20.

M. Mucientes, J. Casillas, Learning fuzzy robot controllers to follow a mobile object, Proceedings of the 2nd International Conference on Machine Intelligence (ACIDCA-ICMI 2005), Tozeur, Tunisa (2005) 566-573.

19.

J. Casillas, O. Delgado, F.J. Martínez-López, Predictive knowledge discovery by multiobjective genetic fuzzy systems for estimating consumer behavior models, Proceedings of the 4th International Conference in Fuzzy Logic and Technology (EUSFLAT 2005), Barcelona, Spain (2005) 272-278.

18.

M. Mucientes, R. Alcalá, J. Alcalá-Fdez, J. Casillas, Learning weighted linguistic rules for mobile robotics, Proceedings of the 11th International Fuzzy Systems Association World Congress (IFSA 2005), Beijing, China (2005) 1279-1285.

17.

J. Casillas, F.J. Martínez-López, A fuzzy rule-based knowledge discovery method for estimating consumer behaviour, Poster Session, 34th European Marketing Academy Conference Proceedings (EMAC 2005), Milan, Italy (2005) 262.

16.

J. Casillas, B. Carse, L. Bull, Reinforcement learning by an accuracy-based fuzzy classifier system with real-valued output, Proceedings of the First International Workshop on Genetic Fuzzy Systems (GFS 2005), Granada, Spain (2005) 44-50.

15.

M. Mucientes, J. Casillas, Obtaining a fuzzy controller with high interpretability in mobile robots navigation, Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2004), Budapest, Hungary (2004) 1637-1642.

14.

J. Casillas, O. Cordón, F. Herrera, P. Villar, A hybrid learning process for the knowledge base of a fuzzy rule-based system, Proceedings of the 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004), Perugia, Italy (2004) 2189-2196.

13.

J. Casillas, F.J. Martínez, F.J. Martínez-López, A proposal for estimating consumer behaviour models based on fuzzy association rules, Proceedings of the X Congress of the International Association for Fuzzy-Set Management and Economy (SIGEF 2003), León, Spain, Vol. 2 (2003) 279-297.

12.

R. Alcalá, J. Alcalá, J. Casillas, O. Cordón, F. Herrera, Genetic learning of accurate TS models based on local fuzzy prototyping, Proceedings of the 3th International Conference in Fuzzy Logic and Technology (EUSFLAT 2003), Zittau, Germany (2003) 105-108.

11.

R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Improving simple linguistic fuzzy models by means of the weighted COR methodology, Proceedings of the 8th Ibero-American Conference on Artificial Intelligence (IBERAMIA 2002). Seville, Spain. In F.J. Garijo, J.C. Riquelme, M. Toro (Eds.), Advances in Artificial Intelligence - IBERAMIA 2002, Lecture Notes in Computer Science, LNCS 2527 (2002) 294-302.

10.

R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Improvements to the COR methodology by means of weighted fuzzy rules, 7th Online World Conference on Soft Computing and its Applications (WSC7 2002). October-December, 2002.

9.

R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Hybridization of components to improve the accuracy in linguistic fuzzy modeling, Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002). Annecy, France (2002) 1969-1977.

8.

R. Alcalá, J. Casillas, O. Cordón, F. Herrera, I. Zwir, Hybridizing hierarchical and weighted linguistic rules, Proceedings of the 17th ACM Symposium on Applied Computing (SAC 2002). Madrid, Spain (2002) 812-816.

7.

J. Casillas, O. Cordón, F. Herrera, J.J. Merelo, Cooperative coevolution for learning fuzzy rule-based systems, Proceedings of the 5th International Conference on Artificial Evolution (EA'01), Le Creusot, France (2001) 97-108. Also in P. Collet, C. Fonlupt, J.-K. Hao, E. Lutton, M. Schoenauer (Eds.), Artificial Evolution, Lecture Notes in Computer Science, LNCS 2310 (2002) 311-322.

6.

R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution, Proceedings of the 2nd International Conference in Fuzzy Logic and Technology (EUSFLAT 2001), Leicester, UK (2001) 237-240.

5.

J. Casillas, O. Cordón, F. Herrera, A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions, Proceedings of the International Conference in Fuzzy Logic and Technology (EUSFLAT 2001), Leicester, UK (2001) 118-121.

4.

J. Casillas, O. Cordón, M.J. Del Jesus, F. Herrera, Genetic tuning of fuzzy rule-based systems integrating linguistic hedges, Proceedings of the 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, Canada (2001) 1570-1574.

3.

J. Casillas, O. Cordón, F. Herrera, Learning fuzzy rules using ant colony optimization algorithms, Proceedings of the 2nd International Workshop on Ant Algorithms (ANTS 2000), Brussels, Belgium (2000) 13-21.

2.

J. Casillas, O. Cordón, F. Herrera, Improving the Wang and Mendel's fuzzy rule learning method by inducing cooperation among rules, Proceedings of the 8th Information Processing and Management of Uncertainty in Knowledge-Based Systems Conference (IPMU 2000), Madrid, Spain, Vol. III (2000) 1682-1688.

1.

R. Alcalá, J. Casillas, A. González, Tuning fuzzy logic controllers for energy efficiency consumption in buildings, Proceedings of the 1999 Eusflat-Estylf Joint Conference, Palma de Mallorca, Spain (1999) 103-106.


Contributions to National Conferences

15.

E. Ruiz, P. Perakakis, J. Casillas, Aprendizaje de reglas de asociación difusas en flujo de datos para el análisis del electroencefalograma en psicofisiología, Proceedings of ESTYLF 2016, San Sebastian, Spain (2016) 138.

14.

F.J. Marín, J. Casillas, M. Mucientes, A.A. Transeth, S.A. Fjerdingen, I. Schjølberg, Aprendizaje de controladores difusos para seguimiento de trayectorias en robots multiarticulados, Proceedings of ROBOT 2011, Sevilla, Spain (2011) 397-403.

13.

A.D. Benítez, J. Casillas, Aprendizaje evolutivo de sistemas difusos jerárquicos en serie, Proceedings of the VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2009), Málaga, Spain (2009) 255-262.

12.

A. Orriols-Puig, J. Casillas, F.J. Martínez-López, Modelado causal en Marketing mediante aprendizaje no supervisado de reglas de asociación difusas, Proceedings of the XIV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'08), Mieres-Langreo, Spain (2008) 529-536.

11.

A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla, Aprendizaje supervisado de reglas difusas mediante un sistema clasificador evolutivo estilo Michigan, Proceedings of the II Congreso Español de Informática (CEDI 2007). I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM'07), Zaragoza, Spain (2007) 171-178.

10.

A.D. Benítez, J. Casillas, Optimización continua mediante la evolución de funciones de densidad de probabilidad con un modelo de dos islas, Proceedings of the V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2007), Tenerife, Spain (2007) 795-802.

9.

O. Delgado, J. Casillas, Extracción de conocimiento mediante un algoritmo genético multiobjetivo estilo Pittsburgh y reglas lingüísticas tipo DNF, Proceedings of the V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2007), Tenerife, Spain (2007) 509-516.

8.

J. Casillas, O. Delgado, F.J. Martínez-López, Una metodología de KDD basada en sistemas difusos genéticos multiobjetivo para modelado causal en marketing, Proceedings of the IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2005), Granada, Spain (2005) 681-688.

7.

J. Casillas, A.D. Benítez, Optimización continua multimodal mediante evolución de funciones de densidad de probabilidad, Proceedings of the II Congreso Mexicano de Computación Evolutiva (COMCEV'05), Aguascalientes, Mexico (2005) 139-144.

6.

M. Mucientes, J. Casillas, Generación eficiente de un controlador difuso con alta interpretabilidad para navegación de robots móviles, Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén, Spain (2004) 401-406.

5.

J. Casillas, B. Carse, L. Bull, Fuzzy-XCS: an accuracy-based fuzzy classifier system, Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén, Spain (2004) 369-376.

4.

J. Casillas, O. Cordón, F. Herrera, P. Villar, Aprendizaje híbrido de la base de conocimiento de un sistema basado en reglas difusas mediante algoritmos genéticos y colonias de hormigas, Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén, Spain (2004) 357-362.

3.

J. Casillas, A. Rodríguez, Evolución de funciones de densidad de probabilidad para optimización continua, Proceedings of the III Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2004), Córdoba, Spain (2004) 438-447.

2.

R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Mejoras a la metodología COR mediante el uso de reglas difusas ponderadas, Proceedings of the XI Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2002), León, Spain (2002) 541-546.

1.

J. Casillas, O. Cordón, F. Herrera, Generación de reglas difusas con buen nivel de cooperación mediante algoritmos de hormigas, Proceedings of the X Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2000), Sevilla, Spain (2000) 291-296.


Technical Reports, Working Papers, Prefaces

3.

J. Casillas, B. Carse, Special issue on "Genetic Fuzzy Systems: Recent Developments and Future Directions", Soft Computing 13:5 (2009) 417-418. ISSN 1432-7643. DOI: 10.1007/s00500-008-0358-0.

2.

J. Casillas, F. Herrera, R. Pérez, M.J. del Jesus, P. Villar, Special issue on "Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off", International Journal of Approximate Reasoning 44:1 (2007) 1-3. ISSN 0888-613X. DOI: 10.1016/j.ijar.2006.06.002.

1.

J. Casillas, O. Cordón, F. Herrera, Can linguistic modeling be as accurate as fuzzy modeling without losing its description to a high degree? Technical Report #DECSAI-00-01-20, Dept. of Computer Science and Artificial Intelligence, University of Granada, 2000.


List of Publications

© Jorge Casillas