{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,9]],"date-time":"2025-02-09T19:40:03Z","timestamp":1739130003311,"version":"3.37.0"},"publisher-location":"Berlin, Heidelberg","reference-count":119,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642021268"},{"type":"electronic","value":"9783642021275"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-02127-5_6","type":"book-chapter","created":{"date-parts":[[2009,5,28]],"date-time":"2009-05-28T14:55:50Z","timestamp":1243522550000},"page":"237-279","source":"Crossref","is-referenced-by-count":1,"title":["Data-Driven and Knowledge-Based Modeling"],"prefix":"10.1007","author":[{"given":"Erich Peter","family":"Klement","sequence":"first","affiliation":[]},{"given":"Edwin","family":"Lughofer","sequence":"additional","affiliation":[]},{"given":"Johannes","family":"Himmelbauer","sequence":"additional","affiliation":[]},{"given":"Bernhard","family":"Moser","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"6_CR1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-0027-7","volume-title":"Fuzzy Model Identification for Control","author":"J. Abonyi","year":"2003","unstructured":"J. Abonyi. Fuzzy Model Identification for Control. Birkh\u00e4user, Boston, 2003."},{"key":"6_CR2","doi-asserted-by":"publisher","first-page":"612","DOI":"10.1109\/TSMCB.2002.1033180","volume":"32","author":"J. Abonyi","year":"2002","unstructured":"J. Abonyi, R. Babuska, and F. Szeifert. Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models. IEEE Trans. Syst. Man Cybern. B, 32:612\u2013621, 2002.","journal-title":"IEEE Trans. Syst. Man Cybern. B"},{"key":"6_CR3","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1109\/TSMCB.2003.817053","volume":"34","author":"P. Angelov","year":"2004","unstructured":"P. Angelov and D. Filev. An approach to online identification of Takagi-Sugeno fuzzy models. IEEE Trans. Syst. Man Cybern. B, 34:484\u2013498, 2004.","journal-title":"IEEE Trans. Syst. Man Cybern. B"},{"key":"6_CR4","doi-asserted-by":"crossref","DOI":"10.1142\/9789812774200","volume-title":"Triangular Norms and Copulas","author":"C. Alsina","year":"2006","unstructured":"C. Alsina, M. J. Frank, and B. Schweizer. Associative Functions: Triangular Norms and Copulas. World Scientific, Singapore, 2006."},{"key":"6_CR5","doi-asserted-by":"publisher","first-page":"1809","DOI":"10.1088\/0957-0233\/17\/7\/020","volume":"17","author":"P. Angelov","year":"2006","unstructured":"P. Angelov, V. Giglio, C. Guardiola, E. Lughofer, and J. M. Luj\u00e1n. An approach to model-based fault detection in industrial measurement systems with application to engine test benches. Measurement Science and Technology, 17:1809\u20131818, 2006.","journal-title":"Measurement Science and Technology"},{"key":"6_CR6","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/0165-1684(95)00049-J","volume":"45","author":"T. Aach","year":"1995","unstructured":"T. Aach, A. Kaup, and R. Mester. On texture analysis: local energy transforms versus quadrature filters. Signal Process., 45:173\u2013181, 1995.","journal-title":"Signal Process."},{"key":"6_CR7","doi-asserted-by":"publisher","first-page":"3160","DOI":"10.1016\/j.fss.2008.06.019","volume":"159","author":"P. Angelov","year":"2008","unstructured":"P. Angelov, E. Lughofer, and X. Zhou. Evolving fuzzy classifiers using different model architectures. Fuzzy Sets and Systems, 159:3160\u20133182, 2008.","journal-title":"Fuzzy Sets and Systems"},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"P. Angelov and X. Zhou. Evolving fuzzy systems from data streams in realtime. In Proceedings International Symposium on Evolving Fuzzy Systems 2006, pages 29\u201335, 2006.","DOI":"10.1109\/ISEFS.2006.251157"},{"key":"6_CR9","doi-asserted-by":"crossref","DOI":"10.1007\/978-94-011-4868-9","volume-title":"Fuzzy Modeling for Control","author":"R. Babuska","year":"1998","unstructured":"R. Babuska. Fuzzy Modeling for Control. Kluwer, Boston, 1998."},{"key":"6_CR10","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-0450-1","volume-title":"Pattern Recognition with Fuzzy Objective Function Algorithms","author":"J.C. Bezdek","year":"1981","unstructured":"J. C. Bezdek. Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York, 1981."},{"key":"6_CR11","volume-title":"Classification and Regression Trees","author":"L. Breiman","year":"1993","unstructured":"L. Breiman, J. Friedman, C. J. Stone, and R. A. Olshen. Classification and Regression Trees. Chapman and Hall, Boca Raton, 1993."},{"key":"6_CR12","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1515\/jiip.2002.10.4.319","volume":"10","author":"M. Burger","year":"2002","unstructured":"M. Burger, J. Haslinger, U. Bodenhofer, and H. W. Engl. Regularized data-driven construction of fuzzy controllers. J. Inverse Ill-Posed Probl., 10:319\u2013344, 2002.","journal-title":"J. Inverse Ill-Posed Probl."},{"key":"6_CR13","unstructured":"P. Bauer, E. P. Klement, A. Leikermoser, and B. Moser. Modeling of control functions by fuzzy controllers. In Nguyen et al. [NSTY95], chapter 5, pages 91\u2013116."},{"key":"6_CR14","doi-asserted-by":"crossref","unstructured":"J. Botzheim, E. Lughofer, E. P. Klement, L. T. K\u00f3czy, and T. D. Gedeon. Separated antecedent and consequent learning for Takagi-Sugeno fuzzy systems. In Proceedings FUZZ-IEEE 2006, pages 2263\u20132269, Vancouver, 2006.","DOI":"10.1109\/FUZZY.2006.1682014"},{"key":"6_CR15","unstructured":"C. L. Blake and C. J. Merz. UCI repository of machine learning databases. Univ. of California, Irvine, Dept. of Information and Computer Sciences, 1998. http:\/\/www.ics.uci.edu\/ \u223c mlearn\/MLRepository.html."},{"key":"6_CR16","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/S0165-0114(02)00240-3","volume":"133","author":"U. Bodenhofer","year":"2003","unstructured":"U. Bodenhofer. A note on approximate equality versus the Poincar\u00e9 paradox. Fuzzy Sets and Systems, 133:155\u2013160, 2003.","journal-title":"Fuzzy Sets and Systems"},{"key":"6_CR17","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/S0165-0114(02)00436-0","volume":"137","author":"U. Bodenhofer","year":"2003","unstructured":"U. Bodenhofer. Representations and constructions of similarity-based fuzzy orderings. Fuzzy Sets and Systems, 137:113\u2013136, 2003.","journal-title":"Fuzzy Sets and Systems"},{"key":"6_CR18","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/0165-0114(93)90401-3","volume":"53","author":"J.J. Buckley","year":"1993","unstructured":"J. J. Buckley. Sugeno type controllers are universal controllers. Fuzzy Sets and Systems, 53:299\u2013303, 1993.","journal-title":"Fuzzy Sets and Systems"},{"key":"6_CR19","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1109\/21.370193","volume":"25","author":"J.L. Castro","year":"1995","unstructured":"J. L. Castro. Fuzzy logic controllers are universal approximators. IEEE Trans. Syst. Man Cybernet., 25:629\u2013635, 1995.","journal-title":"IEEE Trans. Syst. Man Cybernet."},{"key":"6_CR20","doi-asserted-by":"crossref","unstructured":"J. Coulon, J.-L. Coulon, and U. H\u00f6hle. Classification of extremal subobjects over SM-SET. In Rodabaugh et al. [RKH92], pages 9\u201331.","DOI":"10.1007\/978-94-011-2616-8_2"},{"key":"6_CR21","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-37057-4","volume-title":"Interpretability Issues in Fuzzy Modeling","author":"J. Casillas","year":"2003","unstructured":"J. Casillas, O. Cordon, F. Herrera, and L. Magdalena. Interpretability Issues in Fuzzy Modeling. Springer, Berlin, 2003."},{"key":"6_CR22","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1109\/3477.484447","volume":"26","author":"J.L. Castro","year":"1996","unstructured":"J. L. Castro and M. Delgado. Fuzzy systems with defuzzification are universal approximators. IEEE Trans. Syst. Man Cybern. B, 26:149\u2013152, 1996.","journal-title":"IEEE Trans. Syst. Man Cybern. B"},{"key":"6_CR23","doi-asserted-by":"crossref","DOI":"10.1007\/978-94-015-9480-6","volume-title":"Algebraic Foundations of Many-Valued Reasoning","author":"R. Cignoli","year":"2000","unstructured":"R. Cignoli, I. M. L. D\u2019Ottaviano, and D. Mundici. Algebraic Foundations of Many-Valued Reasoning. Kluwer, Dordrecht, 2000."},{"key":"6_CR24","doi-asserted-by":"crossref","unstructured":"G. Castellano, A. M. Fanelli, and C. Mencar. A double-clustering approach for interpretable granulation of data. In Proceedings IEEE Int. Conf. on Syst. Man Cybern. 2002, Hammamet, 2002.","DOI":"10.1109\/ICSMC.2002.1173459"},{"key":"6_CR25","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/S0165-0114(03)00111-8","volume":"141","author":"O. Cordon","year":"2004","unstructured":"O. Cordon, F. Gomide, F. Herrera, F. Hoffmann, and L. Magdalena. Ten years of genetic fuzzy systems: current framework and new trends. Fuzzy Sets and Systems, 141:5\u201331, 2004.","journal-title":"Fuzzy Sets and Systems"},{"key":"6_CR26","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1109\/3477.809026","volume":"29","author":"O. Cordon","year":"1999","unstructured":"O. Cordon and F. Herrera. A two-stage evolutionary process for designing TSK fuzzy rule-based systems. IEEE Trans. Syst. Man Cybern. B, 29:703\u2013 715, 1999.","journal-title":"IEEE Trans. Syst. Man Cybern. B"},{"key":"6_CR27","doi-asserted-by":"crossref","DOI":"10.1142\/4177","volume-title":"Genetic Fuzzy Systems\u2014Evolutionary Tuning and Learning of Fuzzy Knowledge Bases","author":"O. Cordon","year":"2001","unstructured":"O. Cordon, F. Herrera, F. Hoffmann, and L. Magdalena. Genetic Fuzzy Systems\u2014Evolutionary Tuning and Learning of Fuzzy Knowledge Bases. World Scientific, Singapore, 2001."},{"key":"6_CR28","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1109\/91.324806","volume":"2","author":"S. Chiu","year":"1994","unstructured":"S. Chiu. Fuzzy model identification based on cluster estimation. Journal of Intelligent and Fuzzy Systems, 2:267\u2013278, 1994.","journal-title":"Journal of Intelligent and Fuzzy Systems"},{"key":"6_CR29","volume-title":"An Introduction to Support Vector Machines and Other Kernel-based Learning Methods","author":"N. Cristianini","year":"2001","unstructured":"N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press, Cambridge, 2001."},{"key":"6_CR30","unstructured":"D. Dubois, M. Grabisch, and H. Prade. Gradual rules and the approximation of functions. In Proceedings 2nd International Conference on Fuzzy Logic and Neural Networks, Iizuka, pages 629\u2013632, 1992."},{"key":"6_CR31","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1007\/s00500-006-0107-1","volume":"11","author":"M. Drobics","year":"2006","unstructured":"M. Drobics and J. Himmelbauer. Creating comprehensible regression models: Inductive learning and optimization of fuzzy regression trees using comprehensible fuzzy predicates. Soft Comput., 11:421\u2013438, 2006.","journal-title":"Soft Comput."},{"key":"6_CR32","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-662-11131-4","volume-title":"An Introduction to Fuzzy Control","author":"D. Driankov","year":"1993","unstructured":"D. Driankov, H. Hellendoorn, and M. Reinfrank. An Introduction to Fuzzy Control. Springer, Berlin, 1993."},{"key":"6_CR33","volume-title":"Pattern Classification","author":"R.O. Duda","year":"2000","unstructured":"R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. Wiley, Chichester, 2000."},{"key":"6_CR34","doi-asserted-by":"crossref","unstructured":"M. Drobics. Choosing the best predicates for data-driven fuzzy modeling. In Proceedings 13th IEEE Int. Conf. on Fuzzy Systems, pages 245\u2013249, Budapest, 2004.","DOI":"10.1109\/FUZZY.2004.1375727"},{"key":"6_CR35","series-title":"LNCS","first-page":"445","volume-title":"Proceedings ICVS 2008, Santorini Island","author":"C. Eitzinger","year":"2008","unstructured":"C. Eitzinger, M. Gmainer, W. Heidl, and E. Lughofer. Increasing classification performance with adaptive features. In A. Gasteratos, M. Vincze, and J. K. Tsotsos, editors, Proceedings ICVS 2008, Santorini Island, volume 5008 of LNCS, pages 445\u2013453. Springer, Berlin, 2008."},{"key":"6_CR36","doi-asserted-by":"crossref","unstructured":"C. Eitzinger, W. Heidl, E. Lughofer, S. Raiser, J. E. Smith, M. A. Tahir, D. Sannen, and H. van Brussel. Assessment of the influence of adaptive components in trainable surface inspection systems. Machine Vision and Applications, 2009. To appear.","DOI":"10.1007\/s00138-009-0211-1"},{"key":"6_CR37","doi-asserted-by":"crossref","unstructured":"D. P. Filev and F. Tseng. Novelty detection based machine health prognostics. In Proceedings 2006 International Symposium on Evolving Fuzzy Systems, pages 193\u2013199, Lake District, 2006.","DOI":"10.1109\/ISEFS.2006.251161"},{"key":"6_CR38","unstructured":"D. Gustafson and W. Kessel. Fuzzy clustering with a fuzzy covariance matrix. In Proceedings IEEE CDC, pages 761\u2013766, San Diego, 1979."},{"key":"6_CR39","unstructured":"S. Gottwald. A Treatise on Many-Valued Logic. Studies in Logic and Computation. Research Studies Press, Baldock, 2001."},{"key":"6_CR40","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/MASSP.1984.1162229","volume":"1","author":"R.M. Gray","year":"1984","unstructured":"R. M. Gray. Vector quantization. IEEE ASSP Magazine, 1:4\u201329, 1984.","journal-title":"IEEE ASSP Magazine"},{"key":"6_CR41","doi-asserted-by":"crossref","DOI":"10.1007\/978-94-011-5300-3","volume-title":"Metamathematics of Fuzzy Logic","author":"P. H\u00e1jek","year":"1998","unstructured":"P. H\u00e1jek. Metamathematics of Fuzzy Logic. Kluwer, Dordrecht, 1998."},{"key":"6_CR42","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4684-9440-2","volume-title":"Measure Theory","author":"P.R. Halmos","year":"1950","unstructured":"P. R. Halmos. Measure Theory. Van Nostrand Reinhold, New York, 1950."},{"key":"6_CR43","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1162\/153244301753683717","volume":"1","author":"R. Herbrich","year":"2001","unstructured":"R. Herbrich, T. Graepel, and C. Campbell. Bayes point machines. Journal of Machine Learning Research, 1:245\u2013279, 2001.","journal-title":"Journal of Machine Learning Research"},{"key":"6_CR44","volume-title":"Fuzzy Cluster Analysis\u2014Methods for Image Recognition, Classification, and Data Analysis","author":"F. H\u00f6ppner","year":"1999","unstructured":"F. H\u00f6ppner, F. Klawonn, R. Kruse, and T. A. Runkler. Fuzzy Cluster Analysis\u2014Methods for Image Recognition, Classification, and Data Analysis. John Wiley & Sons, Chichester, 1999."},{"key":"6_CR45","first-page":"389","volume-title":"Fuzzy Information and Decision Processes","author":"L.P. Holmblad","year":"1982","unstructured":"L. P. Holmblad and J. J. \u00d8stergaard. Control of a cement kiln by fuzzy logic. In M. M. Gupta and E. Sanchez, editors, Fuzzy Information and Decision Processes, pages 389\u2013399. North-Holland, Amsterdam, 1982."},{"key":"6_CR46","doi-asserted-by":"crossref","unstructured":"U. H\u00f6hle. M-valued sets and sheaves over integral commutative CL-monoids. In Rodabaugh et al. [RKH92], pages 33\u201372.","DOI":"10.1007\/978-94-011-2616-8_3"},{"key":"6_CR47","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1007\/s005000050045","volume":"2","author":"U. H\u00f6hle","year":"1998","unstructured":"U. H\u00f6hle. Many-valued equalities, singletons and fuzzy partitions. Soft Computing, 2:134\u2013140, 1998.","journal-title":"Soft Computing"},{"key":"6_CR48","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-21606-5","volume-title":"The Elements of Statistical Learning: Data Mining, Inference and Prediction","author":"T. Hastie","year":"2001","unstructured":"T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning: Data Mining, Inference and Prediction. Springer, New York, 2001."},{"key":"6_CR49","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1109\/21.256541","volume":"23","author":"J.-S.R. Jang","year":"1993","unstructured":"J.-S. R. Jang. ANFIS: Adaptive-network-based fuzzy inference systems. IEEE Trans. Syst. Man Cybern., 23:665\u2013685, 1993.","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"6_CR50","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/3477.658573","volume":"28","author":"C.Z. Janikow","year":"1998","unstructured":"C. Z. Janikow. Fuzzy decision trees: Issues and methods. IEEE Trans. Syst. Man Cybern. B, 28:1\u201314, 1998.","journal-title":"IEEE Trans. Syst. Man Cybern. B"},{"key":"6_CR51","doi-asserted-by":"publisher","first-page":"902","DOI":"10.1109\/3477.969494","volume":"31","author":"N. Kasabov","year":"2001","unstructured":"N. Kasabov. Evolving fuzzy neural networks for supervised\/unsupervised online knowledge-based learning. IEEE Trans. Syst. Man Cybern. B, 31:902\u2013918, 2001.","journal-title":"IEEE Trans. Syst. Man Cybern. B"},{"key":"6_CR52","volume-title":"Evolving Connectionist Systems\u2014Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines","author":"N. Kasabov","year":"2002","unstructured":"N. Kasabov. Evolving Connectionist Systems\u2014Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines. Springer, London, 2002."},{"key":"6_CR53","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/0165-0114(95)00350-9","volume":"85","author":"F. Klawonn","year":"1997","unstructured":"F. Klawonn and R. Kruse. Constructing a fuzzy controller from data. Fuzzy Sets and Systems, 85:177\u2013193, 1997.","journal-title":"Fuzzy Sets and Systems"},{"key":"6_CR54","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1080\/03081079908935238","volume":"28","author":"E.P. Klement","year":"1999","unstructured":"E. P. Klement, L. T. K\u00f3czy, and B. Moser. Are fuzzy systems universal approximators? Internat. J. Gen. Systems, 28:259\u2013282, 1999.","journal-title":"Internat. J. Gen. Systems"},{"volume-title":"Logical, Algebraic, Analytic, and Probabilistic Aspects of Triangular Norms","year":"2005","key":"6_CR55","unstructured":"E. P. Klement and R. Mesiar, editors. Logical, Algebraic, Analytic, and Probabilistic Aspects of Triangular Norms. Elsevier, Amsterdam, 2005."},{"key":"6_CR56","doi-asserted-by":"crossref","DOI":"10.1007\/978-94-015-9540-7","volume-title":"Triangular Norms","author":"E.P. Klement","year":"2000","unstructured":"E. P. Klement, R. Mesiar, and E. Pap. Triangular Norms. Kluwer, Dordrecht, 2000."},{"key":"6_CR57","doi-asserted-by":"crossref","unstructured":"B. Kosko. Fuzzy systems as universal approximators. In Proceedings IEEE International Conference on Fuzzy Systems 1992, San Diego, pages 1153\u20131162. IEEE Press, Piscataway, 1992.","DOI":"10.1109\/FUZZY.1992.258720"},{"key":"6_CR58","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-7908-1850-5","volume-title":"Fuzzy Classifier Design","author":"L. Kuncheva","year":"2000","unstructured":"L. Kuncheva. Fuzzy Classifier Design. Physica-Verlag, Heidelberg, 2000."},{"key":"6_CR59","volume-title":"Methods and Algorithms","author":"L. Kuncheva. Combining Pattern Classif","year":"2004","unstructured":"L. Kuncheva. Combining Pattern Classifiers: Methods and Algorithms. Wiley, Chichester, 2004."},{"key":"6_CR60","unstructured":"E. Lughofer and P. Angelov. Detecting and reacting on drifts and shifts in on-line data streams with evolving fuzzy systems. In Proceedings IF-SA\/EUSFLAT 2009 Conference, Lisbon, 2009. To appear."},{"key":"6_CR61","doi-asserted-by":"crossref","unstructured":"E. Lughofer, P. Angelov, and X. Zhou. Evolving single- and multi-model fuzzy classifiers with FLEXFIS-Class. In Proceedings FUZZ-IEEE 2007, pages 363\u2013368, London, 2007.","DOI":"10.1109\/FUZZY.2007.4295393"},{"key":"6_CR62","first-page":"307","volume":"36","author":"E. Lughofer","year":"2008","unstructured":"E. Lughofer and C. Guardiola. On-line fault detection with data-driven evolving fuzzy models. Journal of Control and Intelligent Systems, 36:307\u2013 317, 2008.","journal-title":"Journal of Control and Intelligent Systems"},{"key":"6_CR63","volume-title":"Evolving Intelligent Systems: Methodology and Applications","author":"E. Lima","year":"2009","unstructured":"E. Lima, M. Hell, R. Ballini, and F. Gomide. Evolving fuzzy modeling using participatory learning. In P. Angelov, D. Filev, and N. Kasabov, editors, Evolving Intelligent Systems: Methodology and Applications. John Wiley & Sons, New York, 2009. To appear."},{"key":"6_CR64","unstructured":"E. Lughofer, E. H\u00fcllermeier, and E. P. Klement. Improving the interpretability of data-driven evolving fuzzy systems. In Proceedings EUSFLAT 2005, pages 28\u201333, Barcelona, Spain, 2005."},{"key":"6_CR65","volume-title":"System Identification. Theory for the User","author":"L. Ljung","year":"1999","unstructured":"L. Ljung. System Identification: Theory for the User. Prentice Hall, Upper Saddle River, 1999."},{"key":"6_CR66","doi-asserted-by":"crossref","unstructured":"E. Lughofer and S. Kindermann. Improving the robustness of data-driven fuzzy systems with regularization. In Proceedings IEEE World Congress on Computational Intelligence (WCCI) 2008, pages 703\u2013709, Hongkong, 2008.","DOI":"10.1109\/FUZZY.2008.4630446"},{"key":"6_CR67","doi-asserted-by":"crossref","unstructured":"E. Lughofer and S. Kindermann. Rule weight optimization and feature selection in fuzzy systems with sparsity constraints. In Proceedings IF-SA\/EUSFLAT 2009 Conference, Lisbon, Portugal, 2009. To appear.","DOI":"10.1109\/TFUZZ.2010.2042960"},{"key":"6_CR68","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.fss.2004.03.001","volume":"150","author":"G. Leng","year":"2005","unstructured":"G. Leng, T. M McGinnity, and G. Prasad. An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network. Fuzzy Sets and Systems, 150:211\u2013243, 2005.","journal-title":"Fuzzy Sets and Systems"},{"key":"6_CR69","volume-title":"Evolving Fuzzy Models\u2014Incremental Learning, Interpretability and Stability Issues, Applications","author":"E. Lughofer","year":"2008","unstructured":"E. Lughofer. Evolving Fuzzy Models\u2014Incremental Learning, Interpretability and Stability Issues, Applications. VDM Verlag Dr. M\u00fcller, Saarbr\u00fccken, 2008."},{"key":"6_CR70","doi-asserted-by":"crossref","unstructured":"E. Lughofer. Evolving vector quantization for classification of on-line data streams. In Proceedings Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2008), pages 780\u2013786, Vienna, 2008.","DOI":"10.1109\/CIMCA.2008.47"},{"key":"6_CR71","doi-asserted-by":"publisher","first-page":"995","DOI":"10.1016\/j.patcog.2007.07.019","volume":"41","author":"E. Lughofer","year":"2008","unstructured":"E. Lughofer. Extensions of vector quantization for incremental clustering. Pattern Recognition, 41:995\u20131011, 2008.","journal-title":"Pattern Recognition"},{"key":"6_CR72","doi-asserted-by":"publisher","first-page":"1393","DOI":"10.1109\/TFUZZ.2008.925908","volume":"16","author":"E. Lughofer","year":"2008","unstructured":"E. Lughofer. FLEXFIS: A robust incremental learning approach for evolving TS fuzzy models. IEEE Trans. Fuzzy Syst., 16:1393\u20131410, 2008.","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"6_CR73","volume-title":"Evolving Intelligent Systems: Methodology and Applications","author":"E. Lughofer","year":"2009","unstructured":"E. Lughofer. Towards robust evolving fuzzy systems. In P. Angelov, D. Filev, and N. Kasabov, editors, Evolving Intelligent Systems: Methodology and Applications. John Wiley & Sons, New York, 2009. To appear."},{"key":"6_CR74","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0020-7373(75)80002-2","volume":"7","author":"E.H. Mamdani","year":"1975","unstructured":"E. H. Mamdani and S. Assilian. An experiment in linguistic synthesis with a fuzzy logic controller. Intern. J. Man-Machine Stud., 7:1\u201313, 1975.","journal-title":"Intern. J. Man-Machine Stud."},{"key":"6_CR75","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1073\/pnas.28.12.535","volume":"8","author":"K. Menger","year":"1942","unstructured":"K. Menger. Statistical metrics. Proc. Nat. Acad. Sci. U.S.A., 8:535\u2013537, 1942.","journal-title":"Proc. Nat. Acad. Sci. U.S.A."},{"key":"6_CR76","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1098\/rsta.1909.0016","volume":"209","author":"J. Mercer","year":"1909","unstructured":"J. Mercer. Functions of positive and negative type and their connection with the theory of integral equations. Philos. Trans. Roy. Soc. London, 209:415\u2013446, 1909.","journal-title":"Philos. Trans. Roy. Soc. London"},{"key":"6_CR77","unstructured":"B. Moser and P. Haslinger. Texture classification with SVM based on Hermann Weyl\u2019s discrepancy norm. In Proceedings of QCAV09, Wels, 2008. To appear."},{"key":"6_CR78","unstructured":"B. Moser and T. Hoch. Misalignment measure based on Hermann Weyl\u2019s discrepancy. In A. Kuijper, B. Heise, and L. Muresan, editors, Proceedings 32nd Workshop of the Austrian Association for Pattern Recognition (AAPR\/OAGM), volume 232, pages 187\u2013197. Austrian Computer Society, 2008."},{"key":"6_CR79","doi-asserted-by":"crossref","DOI":"10.1201\/9781420035933","volume-title":"Subset Selection in Regression Second Edition","author":"A. Miller","year":"2002","unstructured":"A. Miller. Subset Selection in Regression Second Edition. Chapman and Hall\/CRC, Boca Raton, 2002."},{"key":"6_CR80","doi-asserted-by":"crossref","unstructured":"B. Moser, T. Kazmar, and P. Haslinger. On the potential of Hermann Weyl\u2019s discrepancy norm for texture analysis. In Proceedings Intern. Conf. on Computational Intelligence for Modelling, Control and Automation, 2008. To appear.","DOI":"10.1109\/CIMCA.2008.89"},{"key":"6_CR81","doi-asserted-by":"publisher","first-page":"2286","DOI":"10.1109\/25.901898","volume":"49","author":"H. Maturino-Lozoya","year":"2000","unstructured":"H. Maturino-Lozoya, D. Munoz-Rodriguez, F. Jaimes-Romera, and H. Tawfik. Handoff algorithms based on fuzzy classifiers. IEEE Transactions on Vehicular Technology, 49:2286\u20132294, 2000.","journal-title":"IEEE Transactions on Vehicular Technology"},{"key":"6_CR82","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/S0165-0114(97)00220-0","volume":"104","author":"B. Moser","year":"1999","unstructured":"B. Moser. Sugeno controllers with a bounded number of rules are nowhere dense. Fuzzy Sets and Systems, 104:269\u2013277, 1999.","journal-title":"Fuzzy Sets and Systems"},{"key":"6_CR83","first-page":"2603","volume":"7","author":"B. Moser","year":"2006","unstructured":"B. Moser. On representing and generating kernels by fuzzy equivalence relations. J. Machine Learning Research, 7:2603\u20132620, 2006.","journal-title":"J. Machine Learning Research"},{"key":"6_CR84","doi-asserted-by":"publisher","first-page":"1787","DOI":"10.1016\/j.fss.2006.01.007","volume":"157","author":"B. Moser","year":"2006","unstructured":"B. Moser. On the T-transitivity of kernels. Fuzzy Sets and Systems, 157:1787\u20131796, 2006.","journal-title":"Fuzzy Sets and Systems"},{"key":"6_CR85","unstructured":"B. Moser. A similarity measure for images and volumetric data based on Hermann Weyl\u2019s discrepancy. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2009. To appear."},{"key":"6_CR86","doi-asserted-by":"crossref","unstructured":"O. Nelles, A. Fink, and R. Isermann. Local linear model trees (LOLIMOT) toolbox for nonlinear system identification. In Proceedings 12th IFAC Symposium on System Identification, Santa Barbara, 2000.","DOI":"10.1016\/S1474-6670(17)39858-0"},{"key":"6_CR87","unstructured":"H. T. Nguyen and V. Kreinovich. On approximations of controls by fuzzy systems. Technical Report 92\u201393\/302, LIFE Chair of Fuzzy Theory, Tokyo Institute of Technology, Nagatsuta, Yokohama, 1992."},{"key":"6_CR88","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1023\/A:1009610822227","volume":"16","author":"D. Nauck","year":"1998","unstructured":"D. Nauck and R. Kruse. NEFCLASS-X\u2014a soft computing tool to build readable fuzzy classifiers. BT Technology Journal, 16:180\u2013190, 1998.","journal-title":"BT Technology Journal"},{"volume-title":"Theoretical Aspects of Fuzzy Control","year":"1995","key":"6_CR89","unstructured":"H. T. Nguyen, M. Sugeno, R. Tong, and R. R. Yager, editors. Theoretical Aspects of Fuzzy Control. Wiley, New York, 1995."},{"key":"6_CR90","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/S0165-0114(03)00089-7","volume":"138","author":"C. Olaru","year":"2003","unstructured":"C. Olaru and L. Wehenkel. A complete fuzzy decision tree technique. Fuzzy Sets and Systems, 138:221\u2013254, 2003.","journal-title":"Fuzzy Sets and Systems"},{"key":"6_CR91","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1137\/0301004","volume":"1","author":"E. Parzen","year":"1962","unstructured":"E. Parzen. Extraction and detection problems and reproducing kernel hilbert spaces. Journal of the Society for Industrial and Applied Mathematics. Series A, On control, 1:35\u201362, 1962.","journal-title":"Journal of the Society for Industrial and Applied Mathematics. Series A, On control"},{"key":"6_CR92","unstructured":"Y. Peng and P. A. Flach. Soft discretization to enhance the continuous decision tree induction. In Proceedings ECML\/PKDD01 Workshop Integrating Aspects of Data Mining, Decision Support and Meta-Learning, pages 109\u2013118, 2001."},{"volume-title":"Applications of Category Theory to Fuzzy Subsets","year":"1992","key":"6_CR93","unstructured":"S. E. Rodabaugh, E. P. Klement, and U. H\u00f6hle, editors. Applications of Category Theory to Fuzzy Subsets. Kluwer, Dordrecht, 1992."},{"key":"6_CR94","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1109\/91.940965","volume":"9","author":"H. Roubos","year":"2001","unstructured":"H. Roubos and M. Setnes. Compact and transparent fuzzy models and classifiers through iterative complexity reduction. IEEE Trans. on Fuzzy Syst., 9:516\u2013524, 2001.","journal-title":"IEEE Trans. on Fuzzy Syst."},{"key":"6_CR95","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/S0020-0255(02)00369-9","volume":"150","author":"J.A. Roubos","year":"2003","unstructured":"J. A. Roubos, M. Setnes, and J. Abonyi. Learning fuzzy classification rules from data. Inform. Sci., 150:77\u201393, 2003.","journal-title":"Inform. Sci."},{"key":"6_CR96","doi-asserted-by":"publisher","first-page":"1260","DOI":"10.1016\/j.fss.2005.12.011","volume":"157","author":"H.-J. Rong","year":"2006","unstructured":"H.-J. Rong, N. Sundararajan, G.-B. Huang, and P. Saratchandran. Sequential adaptive fuzzy inference system (SAFIS) for nonlinear system identification and prediction. Fuzzy Sets and Systems, 157:1260\u20131275, 2006.","journal-title":"Fuzzy Sets and Systems"},{"key":"6_CR97","volume-title":"Principles of Mathematical Analysis","author":"W. Rudin","year":"1976","unstructured":"W. Rudin. Principles of Mathematical Analysis. McGraw-Hill, D\u00fcsseldorf, 1976."},{"key":"6_CR98","series-title":"SPIE Proceedings Series","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1117\/12.341077","volume-title":"Creating fuzzy rules for image classification using biased data clustering","author":"R. Santos","year":"1999","unstructured":"R. Santos, E. R. Dougherty, and J. T. Astola Jaakko. Creating fuzzy rules for image classification using biased data clustering. In SPIE Proceedings Series, volume 3646, pages 151\u2013159. Society of Photo-Optical Instrumentation Engineers, Bellingham, 1999."},{"key":"6_CR99","series-title":"LNCS","first-page":"173","volume-title":"Proceedings ICVS 2008, Santorini Island","author":"D. Sannen","year":"2008","unstructured":"D. Sannen, M. Nuttin, J. E. Smith, M. A. Tahir, E. Lughofer, and C. Eitzinger. An interactive self-adaptive on-line image classification framework. In A. Gasteratos, M. Vincze, and J.K. Tsotsos, editors, Proceedings ICVS 2008, Santorini Island, volume 5008 of LNCS, pages 173\u2013180. Springer, Berlin, 2008."},{"key":"6_CR100","volume-title":"Probabilistic Metric Spaces","author":"B. Schweizer","year":"1983","unstructured":"B. Schweizer and A. Sklar. Probabilistic Metric Spaces. North-Holland, New York, 1983."},{"key":"6_CR101","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1007\/BF01732610","volume":"35","author":"H. Schwetlick","year":"1995","unstructured":"H. Schwetlick and T. Schuetze. Least squares approximation by splines with free knots. BIT, 35:361\u2013384, 1995.","journal-title":"BIT"},{"key":"6_CR102","doi-asserted-by":"crossref","unstructured":"B. Sch\u00f6lkopf and A. J. Smola. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning). The MIT Press, 2001.","DOI":"10.7551\/mitpress\/4175.001.0001"},{"key":"6_CR103","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1111\/j.2517-6161.1974.tb00994.x","volume":"36","author":"M. Stone","year":"1974","unstructured":"M. Stone. Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, 36:111\u2013147, 1974.","journal-title":"Journal of the Royal Statistical Society"},{"key":"6_CR104","volume-title":"Solutions of Ill-Posed Problems","author":"A.N. Tikhonov","year":"1977","unstructured":"A. N. Tikhonov and V. Y. Arsenin. Solutions of Ill-Posed Problems. Winston & Sons, Washington, 1977."},{"key":"6_CR105","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1142\/9789814343138_0010","volume-title":"The Handbook of pattern recognition & computer vision","author":"M. Tuceryan","year":"1993","unstructured":"M. Tuceryan and A. K. Jain. Texture analysis. In C. H. Chen, L. F. Pau, and P. S. P. Wang, editors, The Handbook of pattern recognition & computer vision, pages 235\u2013276. World Scientific, River Edge, 1993."},{"key":"6_CR106","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1109\/TSMC.1985.6313399","volume":"15","author":"T. Takagi","year":"1985","unstructured":"T. Takagi and M. Sugeno. Fuzzy identification of systems and its application to modelling and control. IEEE Trans. Syst. Man Cybernet., 15:116\u2013132, 1985.","journal-title":"IEEE Trans. Syst. Man Cybernet."},{"key":"6_CR107","unstructured":"A. Tsymbal. The problem of concept drift: definitions and related work. Technical Report TCD-CS-2004-15, Department of Computer Science, Trinity College Dublin, Ireland, 2004."},{"key":"6_CR108","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"V. Vapnik","year":"1995","unstructured":"V. Vapnik. The Nature of Statistical Learning Theory. Springer, New York, 1995."},{"key":"6_CR109","volume-title":"Statistical Learning Theory","author":"V. Vapnik","year":"1998","unstructured":"V. Vapnik. Statistical Learning Theory. Wiley, New York, 1998."},{"key":"6_CR110","doi-asserted-by":"publisher","first-page":"1163","DOI":"10.1109\/FUZZY.1992.258721","volume-title":"Proceedings IEEE International Conference on Fuzzy Systems 1992, San Diego","author":"L.X. Wang","year":"1992","unstructured":"L. X. Wang. Fuzzy systems are universal approximators. In Proceedings IEEE International Conference on Fuzzy Systems 1992, San Diego, pages 1163\u20131169. IEEE, Piscataway, 1992."},{"key":"6_CR111","volume-title":"Advanced Methods in Neural Computing","author":"P.D. Wasserman","year":"1993","unstructured":"P. D. Wasserman. Advanced Methods in Neural Computing. Van Nostrand Reinhold, New York, 1993."},{"key":"6_CR112","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/S0165-0114(97)00386-2","volume":"112","author":"X. Wang","year":"2000","unstructured":"X. Wang, B. Chen, G. Qian, and F. Ye. On the optimization of fuzzy decision trees. Fuzzy Sets and Systems, 112:117\u2013125, 2000.","journal-title":"Fuzzy Sets and Systems"},{"key":"6_CR113","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1007\/BF01475864","volume":"77","author":"H. Weyl","year":"1916","unstructured":"H. Weyl. \u00dcber die Gleichverteilung von Zahlen mod. Eins. Math. Ann., 77:313\u2013352, 1916.","journal-title":"Math. Ann."},{"key":"6_CR114","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10115-007-0114-2","volume":"14","author":"X. Wu","year":"2006","unstructured":"X. Wu, V. Kumar, J. R. Quinlan, J. Gosh, Q. Yang, H. Motoda, G. J. MacLachlan, A. Ng, B. Liu, P. S. Yu, Z.-H. Zhou, M. Steinbach, D. J. Hand, and D. Steinberg. Top 10 algorithms in data mining. Knowledge and Information Systems, 14:1\u201337, 2006.","journal-title":"Knowledge and Information Systems"},{"key":"6_CR115","doi-asserted-by":"publisher","first-page":"1229","DOI":"10.1109\/21.59986","volume":"20","author":"R.R. Yager","year":"1990","unstructured":"R. R. Yager. A model of participatory learning. IEEE Trans. Syst. Man Cybern., 20:1229\u20131234, 1990.","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"6_CR116","series-title":"Proceedings SPIE Conf. on Application of Fuzzy Logic Technology","first-page":"246","volume-title":"Learning of fuzzy rules by mountain clustering","author":"R.R. Yager","year":"1993","unstructured":"R. R. Yager and D. P. Filev. Learning of fuzzy rules by mountain clustering. In Proceedings SPIE Conf. on Application of Fuzzy Logic Technology, volume 2061, pages 246\u2013254. International Society for Optical Engineering, Boston, 1993."},{"key":"6_CR117","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1109\/3468.686713","volume":"28","author":"H. Ying","year":"1998","unstructured":"H. Ying. Sufficient conditions on uniform approximation of multivariate functions by general Takagi-Sugeno fuzzy systems with linear rule consequents. IEEE Trans. Syst. Man and Cybern. A, 28:515\u2013520, 1998.","journal-title":"IEEE Trans. Syst. Man and Cybern. A"},{"key":"6_CR118","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"L.A. Zadeh","year":"1965","unstructured":"L. A. Zadeh. Fuzzy sets. Inform. and Control, 8:338\u2013353, 1965.","journal-title":"Inform. and Control"},{"key":"6_CR119","unstructured":"J. Zeidler and M. Schlosser. Continuous valued attributes in fuzzy decision trees. In Proceedings 8th Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems, pages 395\u2013400, 1996."}],"container-title":["Hagenberg Research"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-02127-5_6.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,9]],"date-time":"2025-02-09T19:02:24Z","timestamp":1739127744000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-02127-5_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642021268","9783642021275"],"references-count":119,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-02127-5_6","relation":{},"subject":[],"published":{"date-parts":[[2010]]}}}