GUAJE FUZZY Wiki

Free software for generating understandable and accurate fuzzy systems

Status: Beta

Brought to you by: jmalonsom

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Citation policy

In case you use GUAJE for your own publications, then please cite the following papers:

D. P. Pancho, J. M. Alonso, L. Magdalena, Quest for interpretability-accuracy trade-off supported by Fingrams into the fuzzy modeling tool GUAJE, International Journal of Computational Intelligence Systems, 6(sup1):46-60, 2013 (DOI:10.1080/18756891.2013.818189).
J. M. Alonso, L. Magdalena, Generating Understandable and Accurate Fuzzy Rule-Based Systems in a Java Environment, In Lecture Notes in Artificial Intelligence - 9th International Workshop on Fuzzy Logic and Applications, Springer-Verlag, LNAI6857:212-219, 2011 (DOI:10.1007/978-3-642-23713-3_27).
J. M. Alonso, L. Magdalena, HILK++: an interpretability-guided fuzzy modeling methodology for learning readable and comprehensible fuzzy rule-based classifiers, Soft Computing, 15:1959-1980, 2011 (DOI:10.1007/s00500-010-0628-5).

List of papers describing GUAJE

D. P. Pancho, J. M. Alonso, L. Magdalena, Quest for interpretability-accuracy trade-off supported by Fingrams into the fuzzy modeling tool GUAJE, International Journal of Computational Intelligence Systems, 6(sup1):46-60, 2013 (DOI:10.1080/18756891.2013.818189).
D. P. Pancho, J. M. Alonso, J. Alcala-Fdez, A new fingram-based software tool for visual representation and analysis of fuzzy association rules, In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Hyderabad, India, pp. 1-7, 2013 (DOI:10.1109/FUZZ-IEEE.2013.6622478).
J. M. Alonso, D. P. Pancho, L. Magdalena, Enhancing the fuzzy modeling tool GUAJE with a new module for fingrams-based analysis of fuzzy rule bases, In Proceedings of the IEEE International Conference on Fuzzy Systems, World Congress on Computational Intelligence (WCCI), Brisbane, Australia, pp. 1082-1089, 2012 (DOI:10.1109/FUZZ-IEEE.2012.6251214).
J. M. Alonso, L. Magdalena, Generating Understandable and Accurate Fuzzy Rule-Based Systems in a Java Environment, In Lecture Notes in Artificial Intelligence - 9th International Workshop on Fuzzy Logic and Applications, Springer-Verlag, LNAI6857:212-219, 2011 (DOI:10.1007/978-3-642-23713-3_27).
J. M. Alonso, L. Magdalena, GUAJE - A Java Environment for Generating Understandable and Accurate Models, In Proceedings of the XV Spanish conference for Fuzzy Logic and Technology (ESTYLF), Huelva, Spain, pp. 399-404, 2010.
J. M. Alonso, L. Magdalena, S. Guillaume, KBCT: A Knowledge Extraction and Representation Tool for Fuzzy Logic Based Systems, In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Budapest, Hungary, 2:989-994, 2004 (DOI:10.1109/FUZZY.2004.1375543).

List of journal papers where GUAJE is cited

J. Alcala-Fdez, J. M. Alonso, A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends and Prospects, IEEE Transactions on Fuzzy Systems, 2015 (DOI:10.1109/TFUZZ.2015.2426212).
D. P. Pancho, J. M. Alonso, L. Magdalena, Enhancing Fingrams to Deal with Precise Fuzzy Systems, Fuzzy Sets and Systems, 2015 (DOI:10.1016/j.fss.2015.05.019).
J. Alcala-Fdez, J. M. Alonso, Special issue on software tools for Soft Computing, International Journal of Computational Intelligence Systems, 6(sup1):1-2, 2013 (DOI:10.1080/18756891.2013.818183).
D. P. Pancho, J. M. Alonso, L. Magdalena, Quest for interpretability-accuracy trade-off supported by Fingrams into the fuzzy modeling tool GUAJE, International Journal of Computational Intelligence Systems, 6(sup1):46-60, 2013 (DOI:10.1080/18756891.2013.818189).
D. P. Pancho, J. M. Alonso, O. Cordon, A. Quirin, L. Magdalena, FINGRAMS: Visual representations of fuzzy rule-based inference for expert analysis of comprehensibility, IEEE Transactions on Fuzzy Systems, 21(6), 2013 (DOI:10.1109/TFUZZ.2013.2245130).
S. Guillaume, B. Charnomordic, Fuzzy inference systems: An integrated modeling environment for collaboration between expert knowledge and data using FisPro, Expert Systems with Applications, 39(10):8744–8755, 2012 (DOI:10.1016/j.eswa.2012.01.206).
S. Guillaume, B. Charnomordic, Learning interpretable fuzzy inference systems with FisPro, Information Sciences, 181(20):4409-4427, 2011 (DOI:10.1016/j.ins.2011.03.025).
J. M. Alonso, M. Ocaña, N. Hernandez, F. Herranz, A. Llamazares, M. A. Sotelo, L. M. Bergasa, L. Magdalena, Enhanced WiFi localization system based on Soft Computing techniques to deal with small-scale variations in wireless sensors, Applied Soft Computing. 11(8):4677-4691, 2011 (DOI:10.1016/j.asoc.2011.07.015).
J. M. Alonso, L. Magdalena, HILK++: an interpretability-guided fuzzy modeling methodology for learning readable and comprehensible fuzzy rule-based classifiers, Soft Computing, 15:1959-1980, 2011 (DOI:10.1007/s00500-010-0628-5).
J. M. Alonso, L. Magdalena, G. Gonzalez-Rodriguez, Looking for a good fuzzy system interpretability index. An experimental approach, International Journal of Approximate Reasoning, 51:115-134, 2009 (DOI:10.1016/j.ijar.2009.09.004).
J. M. Alonso, L. Magdalena, S. Guillaume, HILK: A new methodology for designing highly interpretable linguistic knowledge bases using the fuzzy logic formalism, International Journal of Intelligent Systems, 23(7):761-794, 2008 (DOI:10.1002/int.20288).
J. M. Alonso, L. Magdalena, S. Guillaume, M. A. Sotelo, L. M. Bergasa, M.Ocaña, R. Flores, Knowledge-based intelligent diagnosis of ground robot collision with non detectable Obstacles, Journal of Intelligent and Robotic Systems, 48(4):539-566, 2007 (DOI:10.1007/s10846-006-9125-6).
L. M. Bergasa, J. Nuevo, M. A. Sotelo, R. Barea, M. E. Lopez, Real-time system for monitoring driver vigilance, IEEE Transactions on Intelligent Transportation Systems, 7(1):63-77, 2006 (DOI:10.1109/TITS.2006.869598).
J. M. Alonso, L. Magdalena, S. Guillaume, Linguistic knowledge base simplification regarding accuracy and interpretability, Mathware and Soft Computing, XIII(3):203-216, 2006.

Books

J. M. Alonso, C. Castiello, C. Mencar, Interpretability of Fuzzy Systems: Current Research Trends and Prospects, Springer Handbook of Computational Intelligence, ed. by J. Kacprzyk, W. Pedrycz (Springer, Berlin, Heidelberg), 219-237, 2015 (DOI:10.1007/978-3-662-43505-2).
J. M. Alonso, D. P. Pancho, O. Cordon, A. Quirin, L. Magdalena, Social network analysis of co-fired fuzzy rules, Soft Computing: State of the Art Theory and Novel Applications (Springer), 291:113-128, 2013 (DOI:10.1007/978-3-642-34922-5_9).
J. M. Alonso, C. Castiello, M. Lucarelli, C. Mencar, Modelling interpretable fuzzy rule-based classifiers for medical decision support, In Medical Applications of Intelligent Data Analysis: Research advancements, R. Magdalena-Benedito, E. Soria-Olivas, J. G. Martínez, J. Gómez-Sanchis and A. J. Serrano-López (eds.), IGI Global, ISBN 978-1-4666-1803-9 (hardcover), ISBN 978-1-4666-1804-6 (ebook), Chapter 17, pp. 255-272, 2012 (DOI:10.4018/978-1-4666-1803-9.ch017).
J. M. Alonso, Interpretable fuzzy systems modeling with cooperation between expert and induced knowledge, PhD thesis, UPM, 2007.

NOTE: If you have published a paper where GUAJE is cited and you would like it to be cited above, please contact us!