Conference Articles 2011(1 publication) [publication]António Dourado and Victor, J. , "Evolving Fuzzy Systems from Data: the Computational eFSLab(oratory)", in World Conference on Soft Computing, 2011 2009(1 publication) [publication]António Dourado and Aires, L. and Victor, J. , "eFSLab: Developing Evolving Fuzzy Systems from Data in a Friendly Environment", in 10th European Control Conference, 2009 [citation][year=2011]Adaptive kernel smoothing regression using vector quantization FM Pouzols, A Lendasse - Evolving and Adaptive Intelligent …, 2011 - ieeexplore.ieee.org [citation][year=2010]Evolving fuzzy optimally pruned extreme learning machine: A comparative analysis FM Pouzols, A Lendasse - Fuzzy Systems (FUZZ), 2010 IEEE …, 2010 - ieeexplore.ieee.org [citation][year=2010]Evolving fuzzy optimally pruned extreme learning machine for regression problems FM Pouzols, A Lendasse - Evolving Systems, 2010 - Springer 2008(1 publication) [publication]António Dourado and Victor, J. and Aires, L. , "eTS with Rule Base Simplification and Reduction for Knowledge Extraction from Data Sets", in CLAIO- Congresso Latino Americano de Investigacion de Operationes, 2008 2006(1 publication) [publication]Victor, J. and António Dourado , "Pruning for Interpretability of Large Spanned eTS", in 2nd International Symposium on Evolving Fuzzy Systems, EFS\'06, 2006 [citation][year=2013]Studies in Fuzziness and Soft Computing, Volume 274 J Kacprzyk - Springer [citation][year=2012]Navigating interpretability issues in evolving fuzzy systems E Lughofer - Scalable Uncertainty Management, 2012 - Springer [citation][year=2011]Evolving fuzzy systems-Methodologies, advanced concepts and applications E Lughofer - 2011 - books.google.com [citation][year=2011]On-line elimination of local redundancies in evolving fuzzy systems E Lughofer, JL Bouchot, A Shaker - Evolving Systems, 2011 - Springer [citation][year=2010]1. Evolving fuzzy optimally pruned extreme learning machine for regression problems 2010 FM Pouzols… - Evolving Systems - Springer Abstract This paper proposes an approach to the iden- tification of evolving fuzzy Takagi–Sugeno systems based on the optimally pruned extreme learning machine (OP-ELM) methodology. [citation][year=2009]Sensor virtual adaptable de concentración de etanol para Fermentadores Industriales B Martínez, F Herrera, L Peralta - … de Automática e Informática Industrial RIAI, 2009 - Elsevier 2005(1 publication) [publication]Victor, J. and António Dourado and Angelov, P. , "On-Line Construction and Rule Base Simplification by Replacement in Fuzzy Systems Applied to a Wastewater Treatment Plant", in 16th IFAC World Congress, 2005 2004(4 publications) [publication]Victor, J. and António Dourado , "On-Line Interpretability by Fuzzy Rule Base Simplification and Reduction", in European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems, EUNITE2004, 2004 [citation][year=2006]Evolving Computational Intelligence Systems Plamen Angelov Nikola Kasabov Digital Signal Processing Group Knowledge Engineering and Discovery Institute Dept of Communication Systems, InfoLab21 Auckland University of Technology Lancaster University Private Bag 93000 Lancaster, LA1 4WA, United Kingdom Auckland, New Zealand [citation][year=2006]Simpl_eTS: A Simplified Method for Learning Evolving Takagi-Sugeno Fuzzy Models Plamen Angelov, Dimitar Filev, The 2005 IEEE International Conference on Fuzzy Systems,Pages 1068-1073 [citation][year=2005]Evolving Computational Intelligence Systems Plamen Angelov Nikola Kasabov Digital Signal Processing Group Knowledge Engineering and Discovery Institute Dept of Communication Systems, InfoLab21 Auckland University of Technology Lancaster University Private Bag 93000 Lancaster, LA1 4WA, United Kingdom Auckland, New Zealand [citation][year=2005]Simpl_eTS: A Simplified Method for Learning Evolving Takagi-Sugeno Fuzzy Models Plamen Angelov, Dimitar Filev, The 2005 IEEE International Conference on Fuzzy Systems. [citation][year=2004]On-line identification of MIMO evolving Takagi-Sugeno fuzzy models ,Angelov, P., Xydeas, C., Filev, D. , IEEE International Conference on Fuzzy Systems 1, pp. 55-60 , 2004 [publication]Victor, J. and António Dourado , "On-Line Extraction of Fuzzy Rules in a Wastewater Treatment Plant", in IFIP World Computer Congress, WCC'04, 2004 [citation][year=2007]IDENTIFICAÿÿO FUZZY DA PRODUÿÿO DE BIOGÁS EM UM REATOR UASB RM Borges, A Mattedi, CJ Munaro, RF Gonçalves - bvsde.paho.org 23º Congresso Brasileiro de Engenharia Sanitária e Ambiental [citation][year=2007]FUZZY MODELLING APPLIED TO AN UASB REACTOR RM Borges, CJ Munaro, RF Gonçalves - dpi.eq.ufrj.br Page 1. 2 nd Mercosur Congress on Chemical Engineering 4 th Mercosur Congress on Process Systems Engineering [publication]Victor, J. , "Extraction of Interpretable Fuzzy Rules from Data", in Fuzziness in Finland Conference - FiF '04 and Course on Soft Computing in Business and Economics, 2004 [publication]Angelov, P. and Victor, J. and António Dourado and Filev, D. , "On-line Evolution of Takagi-Sugeno Fuzzy Models", in The 2nd IFAC Workshop on Advanced Fuzzy/Neural Control, AFNC'04, 2004 [citation][year=2015]Application of Evolving Fuzzy Systems to Construct Real Estate Prediction Models M Grze?lowski, Z Telec, B Trawi?ski, T Lasota… - Computational …, 2015 - Springer Abstract Four variants of the eTS algorithms (evolving Takagi-Sugeno fuzzy systems) were implemented and examined in respect of their usefulness for the intelligent system of real estate market. The eTS algorithms were compared as regards their predictive accuracy ... [citation][year=2015][CITAÇÃO] PCBA DEMAND FORECASTING USING AN EVOLVING FUZZY TAKAGI-SUGENO SYSTEM U Kaymak - 2015 [citation][year=2014]A fast learning algorithm for evolving neo-fuzzy neuron AM Silva, W Caminhas, A Lemos, F Gomide - Applied Soft Computing, 2014 - Elsevier [citation][year=2013]A fast learning algorithm for evolving neo-fuzzy neuron A Silva, W Caminhas, A Lemos, F Gomide - Applied Soft Computing, 2013 - Elsevier [citation][year=2012]Sequential adaptive fuzzy inference system for function approximation problems HJ Rong - Learning in Non-Stationary Environments, 2012 - Springer [citation][year=2011]Modified OnLine Sequential Fuzzy Extreme Learning Machine, MSc Thesis, AC Bhatnagar - 61.16.156.122 [citation][year=2010]A BCM theory of meta-plasticity for online self-reorganizing fuzzy-associative learning Texto Integral@b-onJ Tan… - Neural Networks, IEEE Transactions on, 2010 - ieeexplore.ieee.org [citation][year=2010]An Industrial Strength Novelty Detection Framework for Autonomous Equipment Monitoring and Diagnostics 2010 DP Filev, RB Chinnam, F Tseng… - Industrial Informatics, IEEE … - ieeexplore.ieee.org [citation][year=2010]EVOLVING TAKAGI-SUGENO FUZZY SYSTEMS FROM STREAMING DATA (eTSþ) P Angelov - Evolving Intelligent Systems: Methodology and …, 2010 - Wiley Online Library [citation][year=2010]A BCM theory of meta-plasticity for online self-reorganizing fuzzy-associative learning J Tan, C Quek - Neural Networks, IEEE Transactions on, 2010 - ieeexplore.ieee.org [citation][year=2010]A BCM theory of meta-plasticity for online self-reorganizing fuzzy-associative learning J Tan, C Quek - Neural Networks, IEEE Transactions on, 2010 - ieeexplore.ieee.org [citation][year=2010]An industrial strength novelty detection framework for autonomous equipment monitoring and diagnostics DP Filev, RB Chinnam, F Tseng… - … , IEEE Transactions on, 2010 - ieeexplore.ieee.org [citation][year=2009]Online sequential fuzzy extreme learning machine for function approximation and classification problems HJ Rong, GB Huang, N Sundararajan… - Systems, Man, and …, 2009 - ieeexplore.ieee.org [citation][year=2006]Rong, H.-J., Sundararajan, N., Huang, G.-B., Saratchandran, P. Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction (2006) Fuzzy Sets and Systems, 157 (9), Pages 1260-1275. 2003(1 publication) [publication]Victor, J. , "Evolving Takagi-Sugeno Fuzzy Models for Data Mining", in SoftComplex'03, 2003 [citation][year=2009]A Decade of Kasabovapos;s Evolving Connectionist Systems: A Review [citation][year=2009]Watts, M.J. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on Volume 39, Issue 3, May 2009 Page(s):253 - 269 2002(1 publication) [publication]Victor, J. and Pereira, C. and António Dourado , "Neuro-Fuzzy Modelling of the Effluent Neutralisation Process in a Paper Mill", in Controlo'02, 2002 1998(1 publication) [publication]Henriques, J. and Victor, J. and Pereira, C. and António Dourado , "Experimental On-Line Learning For a Benchmark Process", in Controlo'98, 1998 1997(2 publications) [publication]Victor, J. and António Dourado , "Wuzzy: A Real-Time Fuzzy Control Tool and its Application", in AARTC'97, 1997 [citation][year=2002]FPGA Realization of Fuzzy Based Subway Train Braking System Mamun Bin Ibne Reaz1 and Md. Saifur Rahman2 Second International Conference on Electrical and Computer Engineering ICECE 2002, 26-28 December 2002, Dhaka, Bangladesh ISBN 984-32-0328-3 [publication]Victor, J. and António Dourado , "Adaptive Scaling Factors Algorithm for the Fuzzy Logic Controller", in FUZZ-IEEE\'97, 1997 [citation][year=2015]Güç Sistemlerinde Bulan?k Mant?kla Gerilim Kontrolü G O?uz - 2015 - polen.itu.edu.tr Çal??mada, güç sistemi kararl?l???n? sa?lamak için senkron makinan?n modeline yerle?tirilen geleneksel ve bulan?k mant?k tabanl? kontrol elemanlar?n?n bilgisayar benzetimleri yap?larak sistemin bozucu etkiye verdi?i cevap incelenmi?tir. Elemanlar?n tek makinal? bir sistemde [citation][year=2014]Design of a wireless intelligent fuzzy controller network BI Saeed - 2014 - eprints.hud.ac.uk Since the first application of fuzzy logic in the field of control engineering, fuzzy logic control has been successfully employed in controlling a wide variety of applications, such as commercial appliances, industrial automation, robots, traffic control, cement kilns and ... [citation][year=2012]Artificial Intelligent Control of a Solar Tracking System ET El Shenawy, M Kamal… - Journal of Applied …, 2012 - aensiweb.com [citation][year=2011]Zero overshoot and fast transient response using a fuzzy logic controller BI Saeed, B Mehrdadi - Automation and Computing (ICAC), …, 2011 - ieeexplore.ieee.org [citation][year=2009]Real-time Environment for the Design and Evaluation of Fuzzy Controllers F Cofman, D Sáez, JC Gómez - Citeseer ? Electronics Department, Faculty of Engineering, University of Buenos Aires, Argentina fcofman@fi.uba.ar ? Electrical Engineering, University of Chile, Chile dsaez@ing.uchile.cl § Informatics Technical Unit (UTI), Telecommunications, Electronics and Informatics ... [citation][year=2009]A Scalar Tuning Fuzzy Control System Design kmit.edu.tw HM Fenga, CC Wongb, YW Lingb - csie.kmit.edu.tw [citation][year=2008]Fuzzy Logic Controller for Decentralized Stabilization of Multimachine Power Systems SK Yee, JV Milanovic - IEEE Transactions on Fuzzy Systems, 2008 [citation][year=2007]Real-time Environment for the Design and Evaluation of Fuzzy Controllers F Cofman, D Sáez, JC Gómez - frcu.utn.edu.ar ? Electronics Department, Faculty of Engineering, University of Buenos Aires, http://www.frcu.utn.edu.ar/deptos/depto_3/32JAIIO/asai/asai_12.pdf [citation][year=2006]Fuzzy Logic Based Vector Control of a Doubly-Fed Induction Generator in Wind Power Application HM Soloumah, NC Kar - Wind Engineering, 2006 - Multi-Science [citation][year=2001]Feng, H.-M., Kao, W.-H. A rule-based scalar tuning fuzzy control system (2001) Computing and Informatics, 20 (4), Pages 395-409 Book Chapters 2010(1 publication) [publication]Victor, J. and Pereira, C. and António Dourado , "Building Interpretable Systems in Real Time", in Evolving Intelligent Systems: Methodology and Applications, pp. 127-150, 2010 [citation][year=2015]GSETSK: a generic self-evolving TSK fuzzy neural network with a novel Hebbian-based rule reduction approach NN Nguyen, WJ Zhou, C Quek - Applied Soft Computing, 2015 - Elsevier Abstract Takagi–Sugeno–Kang (TSK) fuzzy systems have been widely applied for solving function approximation and regression-centric problems. Existing dynamic TSK models proposed in the literature can be broadly classified into two classes. Class I TSK models ... [citation][year=2013]On-line assurance of interpretability criteria in evolving fuzzy systems–achievements, new concepts and open issues E Lughofer - Information Sciences, 2013 - Elsevier Abstract In this position paper, we are discussing achievements and open issues in the interpretability of evolving fuzzy systems (EFS). In addition to pure on-line complexity reduction approaches, which can be an important direction for increasing the ... [citation][year=2012]Introducing evolving Takagi–Sugeno method based on local least squares support vector machine models M Komijani, C Lucas, BN Araabi, A Kalhor - Evolving Systems, 2012 - Springer Abstract In this study, an efficient local online identification method based on the evolving Takagi–Sugeno least square support vector machine (eTS-LS-SVM) for nonlinear time series prediction is introduced. As an innovation, this paper has applied the nonlinear ... [citation][year=2011]LIVRO] Evolving fuzzy systems-methodologies, advanced concepts and applications E Lughofer - 2011 - Springer In today's industrial systems, economic markets, life and health-care sciences fuzzy systems play an important role in many application scenarios such as system identification, fault detection and diagnosis, quality control, instrumentation and control, decision support .. [citation][year=2011]Human-inspired evolving machines—the next generation of evolving intelligent systems E Lughofer - IEEE SMC newsletter, 2011 - my-smc.org Abstract: In today's real-world applications, there is an increasing need to integrate new information and knowledge into model-building processes to account for changing system dynamics, new operating conditions or environmental influences. This is essential to ... 2000(1 publication) [publication]António Dourado and Henriques, J. and Victor, J. and Pereira, C. , "Comparasion of Real-Time Learning Techniques in a Laboratory Process", in Lectures Notes on Iterative Identification and Control Design, 2000 MSc Theses 1998(1 publication) [publication]Victor, J. , "Projecto e Aplicação de Controladores Difusos em Tempo-Real", 1998 Tech Report 2003(1 publication) [publication]Victor, J. and António Dourado , "Evolving Takagi-Sugeno Fuzzy Models", 2003 [citation][year=2015]Application of Evolving Fuzzy Systems to Construct Real Estate Prediction Models M Grze?lowski, Z Telec, B Trawi?ski, T Lasota… - Computational …, 2015 - Springer Abstract Four variants of the eTS algorithms (evolving Takagi-Sugeno fuzzy systems) were implemented and examined in respect of their usefulness for the intelligent system of real estate market. The eTS algorithms were compared as regards their predictive accuracy ... [citation][year=2010]A Decade of Kasabovapos;s Evolving Connectionist Systems: A Review Watts, M.J. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on Volume 39, Issue 3, May 2009 Page(s):253 - 269 [citation][year=2010]Compresión de imágenes basada en la optimización metaheurística de un sistema Takagi-Sugeno [PDF] de urjc.esÊ Sánchez, F Fernández… - gavab.escet.urjc.es [citation][year=2009]A Decade of Kasabovapos;s Evolving Connectionist Systems: A Review Watts, M.J. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on Volume 39, Issue 3, May 2009 Page(s):253 - 269 [citation][year=2008]An Incremental Clustering Method and Its Application in Online Fuzzy Modeling B Martinezi, F Herrerai, J Fernandezi, E Marichal - Granular Computing: At the Junction of Rough Sets and Fuzzy ?, 2008 - Springer Verlag [citation][year=2008]Compresión de imágenes basada en la optimización metaheurística de un sistema Takagi-Sugeno ÿ Sánchez, F Fernández, A Duarte - gavab.escet.urjc.es Resumen"Este trabajo presenta un método de compresión con pérdidas aplicado a imágenes 2D. La propuesta se basa en la optimización de las etiquetas de los antecedentes correspondientes a un sistema difuso de tipo Takagi-Sugeno de ... [citation][year=2007]Optimization of the Fuzzy Partition of a Zero-order Takagi-Sugeno Model F Fernández, A Duarte, Á Sánchez - gavab.escet.urjc.es http://gavab.escet.urjc.es/articulos/2006_10.pdf [citation][year=2007]Compresión de imágenes basada en la optimización metaheurística de un sistema Takagi-Sugeno ÿ Sánchez, F Fernández, A Duarte - gavab.escet.urjc.es Resumen"Este trabajo presenta un método de compresión con pérdidas aplicado a imágenes 2D. La propuesta se basa en la optimización de las etiquetas de los antecedentes correspondientes a un sistema difuso de tipo Takagi-Sugeno de ... [citation][year=2007]Fuzzy modeling of nonlinear systems using on line clustering methods B Martínez, J Fernández, E Marichal, F Herrera - Cost Oriented Automation, 2007 - bvs.hn [citation][year=2006]Optimization of the Fuzzy Partition of a Zero-order Takagi-Sugeno Model F Fernández, A Duarte… - Proc. Eleventh International …, 2006 - math.s.chiba-u.ac.jp