{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:37:50Z","timestamp":1761597470319},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2013,11,22]],"date-time":"2013-11-22T00:00:00Z","timestamp":1385078400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Evolving Systems"],"published-print":{"date-parts":[[2014,6]]},"DOI":"10.1007\/s12530-013-9099-0","type":"journal-article","created":{"date-parts":[[2013,11,21]],"date-time":"2013-11-21T14:58:44Z","timestamp":1385045924000},"page":"75-88","source":"Crossref","is-referenced-by-count":40,"title":["Enhanced evolving participatory learning fuzzy modeling: an application for asset returns volatility forecasting"],"prefix":"10.1007","volume":"5","author":[{"given":"Leandro","family":"Maciel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fernando","family":"Gomide","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rosangela","family":"Ballini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,11,22]]},"reference":[{"issue":"6","key":"9099_CR1","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1109\/TAC.1974.1100705","volume":"19","author":"H Akaike","year":"1974","unstructured":"Akaike H (1974) A new look at the statistical model identification. IEEE Trans Automat Cont 19(6):716\u2013723","journal-title":"IEEE Trans Automat Cont"},{"key":"9099_CR2","doi-asserted-by":"crossref","unstructured":"Angelov P (2010) Evolving Takagi\u2013Sugeno fuzzy systems from streaming data (eTS+). In: Angelov P, Filev D, Kasabov N (eds) Evolving intelligent systems, Wiley-IEEE-Press, NJ, chap 2, pp 21\u201350","DOI":"10.1002\/9780470569962.ch2"},{"issue":"1","key":"9099_CR3","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1109\/TSMCB.2003.817053","volume":"34","author":"P Angelov","year":"2004","unstructured":"Angelov P, Filev D (2004) An approach to online identification of evolving Takagi\u2013Sugeno fuzzy models. IEEE Trans Syst Man Cybernetics Part B 34(1):484\u2013498","journal-title":"IEEE Trans Syst Man Cybernetics Part B"},{"key":"9099_CR4","doi-asserted-by":"crossref","unstructured":"Angelov P, Filev D (2005) Simpl_eTS: a simplified method for learning evolving Takagi\u2013Sugeno fuzzy models. In: Proceedings 14th IEEE International Conference Fuzzy System, pp 1068\u20131073","DOI":"10.1109\/FUZZY.2005.1452543"},{"key":"9099_CR5","doi-asserted-by":"crossref","unstructured":"Angelov P, Zhou X (2006) Evolving fuzzy systems from data streams in real-time. In: International Symposium on Evolving Fuzzy Systems, IEEE Press, Ambelside, Lake District, pp 29\u201335","DOI":"10.1109\/ISEFS.2006.251157"},{"issue":"6","key":"9099_CR6","doi-asserted-by":"crossref","first-page":"1462","DOI":"10.1109\/TFUZZ.2008.925904","volume":"16","author":"P Angelov","year":"2008","unstructured":"Angelov P, Zhou X (2008) On-line learning fuzzy rule-based system classifiers from data streams. IEEE Trans Fuzzy Syst 16(6):1462\u20131475","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"3","key":"9099_CR7","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1007\/s12530-010-9010-1","volume":"1","author":"V Attar","year":"2010","unstructured":"Attar V, Sinha P, Wankhade K (2010) A fast and light classifier for data streams. Evolv Syst 1(3):199\u2013207","journal-title":"Evolv Syst"},{"issue":"5","key":"9099_CR8","first-page":"668","volume":"11","author":"F Azzem M","year":"2003","unstructured":"Azzem MF, Hanmandlu M, Ahmad N (2003) Structure identification of generalized adaptive neuro-fuzzy inference systems. IEEE Trans Fuzzy Syst 11(5):668\u2013681","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"1\u20132","key":"9099_CR9","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1002\/isaf.294","volume":"16","author":"R Ballini","year":"2009","unstructured":"Ballini R, Mendon\u00e7a ARR, Gomide F (2009a) Evolving fuzzy modeling in risk analysis. Intell Syst Acc Fin Manag 16(1\u20132):71\u201386","journal-title":"Intell Syst Acc Fin Manag"},{"issue":"2","key":"9099_CR10","first-page":"3","volume":"5","author":"R Ballini","year":"2009","unstructured":"Ballini R, Mendon\u00e7a ARR, Gomide F (2009b) Evolving fuzzy modeling of sovereign bonds. J Fin Decis Mak 5(2):3\u201315","journal-title":"J Fin Decis Mak"},{"issue":"6","key":"9099_CR11","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1080\/00207179408921513","volume":"60","author":"SA Billings","year":"1994","unstructured":"Billings SA, Zhu QM (1994) Nonlinear model validation using correlation tests. Intern J Con 60(6):1107\u20131120","journal-title":"Intern J Con"},{"issue":"1","key":"9099_CR12","doi-asserted-by":"crossref","first-page":"1388","DOI":"10.1016\/j.asoc.2010.04.010","volume":"11","author":"J Chang","year":"2011","unstructured":"Chang J, Wei L, Cheng C (2011) A hybrid ANFIS model based on AR and volatility for TAIEX forecasting. Appl Soft Comput 11(1):1388\u20131395","journal-title":"Appl Soft Comput"},{"issue":"3","key":"9099_CR13","doi-asserted-by":"crossref","first-page":"267","DOI":"10.3233\/IFS-1994-2306","volume":"2","author":"L Chiu S","year":"1994","unstructured":"Chiu SL (1994) Fuzzy model identification based on cluster estimation. J Intell Fuzzy Syst 2(3):267\u2013278","journal-title":"J Intell Fuzzy Syst"},{"issue":"3","key":"9099_CR14","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1080\/07350015.1995.10524599","volume":"13","author":"X Diebold F","year":"1995","unstructured":"Diebold FX, Mariano RS (1995) Comparing predictive accuracy. J Bus Econom Stat 13(3):253\u2013263","journal-title":"J Bus Econom Stat"},{"key":"9099_CR15","unstructured":"Dovzan D, Logar V and Skrjanc I (2012) Solving the sales prediction with fuzzy evolving models. In: WCCI 2012 IEEE World Congress on Computational Intelligence June, Brisbane, pp 10\u201315"},{"issue":"2","key":"9099_CR16","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.isatra.2011.01.004","volume":"50","author":"D Dovzan","year":"2011","unstructured":"Dovzan D, Skrjanc I (2011a) Recursive fuzzy c-means clustering for recursive fuzzy identification of time-varying processes. ISA Trans 50(2):159\u2013169","journal-title":"ISA Trans"},{"issue":"1","key":"9099_CR17","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1007\/s12530-010-9025-7","volume":"2","author":"D Dovzan","year":"2011","unstructured":"Dovzan D, Skrjanc I (2011b) Recursive clustering based on a Gustafson\u2013Kessel algorithm. Evolv Syst 2(1):15\u201324","journal-title":"Evolv Syst"},{"issue":"4","key":"9099_CR18","doi-asserted-by":"crossref","first-page":"987","DOI":"10.2307\/1912773","volume":"50","author":"F Engle R","year":"1982","unstructured":"Engle RF (1982) Autoregressive conditional heteroskedasticity with estimates of the variance of UK inflation. Econometrica 50(4):987\u20131007","journal-title":"Econometrica"},{"issue":"1","key":"9099_CR19","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s12530-010-9001-2","volume":"1","author":"L Hartert","year":"2010","unstructured":"Hartert L, Mouchawed MS, Billaudel P (2010) A semi-supervised dynamic version of Fuzzy K-nearest neighbours to monitor evolving systems. Evolv Syst 1(1):3\u201315","journal-title":"Evolv Syst"},{"issue":"6","key":"9099_CR20","doi-asserted-by":"crossref","first-page":"4212","DOI":"10.1016\/j.asoc.2011.03.015","volume":"11","author":"T Helin","year":"2011","unstructured":"Helin T, Koivisto H (2011) The GARCH-fuzzy density method for density forecasting. Appl Soft Comput 11(6):4212\u20134225","journal-title":"Appl Soft Comput"},{"issue":"20","key":"9099_CR21","doi-asserted-by":"crossref","first-page":"4673","DOI":"10.1016\/j.ins.2011.02.027","volume":"181","author":"J Hung","year":"2011","unstructured":"Hung J (2011a) Adaptive fuzzy-GARCH model applied to forecasting the volatility of stock markets using particle swarm optimization. Inf Sci 181(20):4673\u20134683","journal-title":"Inf Sci"},{"issue":"5","key":"9099_CR22","doi-asserted-by":"crossref","first-page":"3938","DOI":"10.1016\/j.asoc.2011.02.020","volume":"11","author":"J Hung","year":"2011","unstructured":"Hung J (2011b) Applying a combined fuzzy systems and GARCH model to adaptively forecast stock market volatility. Appl Soft Comput 11(5):3938\u20133945","journal-title":"Appl Soft Comput"},{"issue":"2","key":"9099_CR23","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1109\/91.995117","volume":"10","author":"N Kasabov","year":"2002","unstructured":"Kasabov N (2002) DENFIS: dynamic evolving neural-fuzzy inference system and its application for time series prediction. IEEE Trans Fuzzy Syst 10(2):144\u2013154","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"9099_CR24","doi-asserted-by":"crossref","unstructured":"Kasabov NK (1996) Foundations of neural networks, fuzzy systems and knowledge engineering. MIT Press, Cambridge","DOI":"10.7551\/mitpress\/3071.001.0001"},{"issue":"3","key":"9099_CR25","doi-asserted-by":"crossref","first-page":"1184","DOI":"10.1016\/j.ejor.2007.02.046","volume":"186","author":"L Kung","year":"2008","unstructured":"Kung L, Yu S (2008) Prediction of index futures returns and the analysis of financial spillovers: a comparison between GARCH and the grey theorem. Eur J Operat Res 186(3):1184\u20131200","journal-title":"Eur J Operat Res"},{"issue":"1","key":"9099_CR26","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1109\/TFUZZ.2010.2087381","volume":"19","author":"A Lemos","year":"2011","unstructured":"Lemos A, Caminhas W, Gomide F (2011) Multivariable gaussian evolving fuzzy modeling system. IEEE Trans Fuzzy Syst 19(1):91\u2013104","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"2","key":"9099_CR27","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.fss.2004.03.001","volume":"150","author":"G Leng","year":"2005","unstructured":"Leng G, McGinnity TM, Prasad G (2005) An approach for on-line extraction of fuzzy rules using a self-organizing fuzzy neural network. Fuzzy Sets Syst 150(2):211\u2013243","journal-title":"Fuzzy Sets Syst"},{"key":"9099_CR28","unstructured":"Lima E (2008) Modelo Takagi\u2013Sugeno evolutivo participativo. Master\u2019s thesis, School of Electrical and Computer Engineering, University of Campinas"},{"key":"9099_CR29","doi-asserted-by":"crossref","unstructured":"Lima E, Hell M, Ballini R, Gomide F (2010) Evolving fuzzy modeling using participatory learning. In: Angelov P, Filev D, Kasabov N (eds) Evolving intelligent systems, Wiley-IEEE-Press, NJ, chap 4, pp 67\u201386","DOI":"10.1002\/9780470569962.ch4"},{"issue":"5","key":"9099_CR30","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1109\/91.963761","volume":"9","author":"J Lin F","year":"2001","unstructured":"Lin FJ, Lin CH, Shen PH (2001) Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive. IEEE Trans Fuzzy Syst 9(5):751\u2013759","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"9099_CR31","doi-asserted-by":"crossref","unstructured":"Ljung L (1999) System identification. Englewood Cliffs, NJ: Prentice Hall","DOI":"10.1002\/047134608X.W1046"},{"issue":"6","key":"9099_CR32","doi-asserted-by":"crossref","first-page":"1393","DOI":"10.1109\/TFUZZ.2008.925908","volume":"16","author":"ED Lughofer","year":"2008","unstructured":"Lughofer ED (2008) FLEXFIS: a robust incremental learning approach for evolving Takagi\u2013Sugeno fuzzy models. IEEE Trans Fuzzy Syst 16(6):1393\u20131410","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"1","key":"9099_CR33","doi-asserted-by":"crossref","first-page":"27","DOI":"10.3233\/IFS-2012-0491","volume":"23","author":"I Luna","year":"2012","unstructured":"Luna I, Ballini R (2012a) Adaptive fuzzy system to forecast financial time series volatility. J Intell Fuzzy Syst 23(1):27\u201338","journal-title":"J Intell Fuzzy Syst"},{"key":"9099_CR34","doi-asserted-by":"crossref","unstructured":"Luna I, Ballini R (2012b) Online estimation of stochastic volatility for asset returns. In: Proceeding of the IEEE Computational Intelligence for Financial Engineering & Economics (CIFEr 2012)","DOI":"10.1109\/CIFEr.2012.6327788"},{"key":"9099_CR35","doi-asserted-by":"crossref","unstructured":"Maciel L, Gomide F, Ballini R (2012a) MIMO evolving functional fuzzy models for interest rate forecasting. In: Proceedings of the IEEE Computational Intelligence for Financial Engineering and Economics (CIFEr 2012)","DOI":"10.1109\/CIFEr.2012.6327781"},{"key":"9099_CR36","doi-asserted-by":"crossref","unstructured":"Maciel L, Gomide F, Ballini R (2012b) An enhanced approach for evolving participatory learning fuzzy modelling. In: Proceedings of the IEEE Congress on Evolving and Adaptive Intelligent Systems (EAIS), Madrid, Spain, pp 23\u201328","DOI":"10.1109\/EAIS.2012.6232799"},{"issue":"1","key":"9099_CR37","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/s12530-011-9042-1","volume":"3","author":"L Maciel","year":"2012","unstructured":"Maciel L, Lemos A, Gomide F, Ballini R (2012c) Evolving fuzzy systems for pricing fixed income options. Evolv Syst 3(1):5\u201318","journal-title":"Evolv Syst"},{"issue":"1","key":"9099_CR38","doi-asserted-by":"crossref","first-page":"11","DOI":"10.3233\/KES-2010-0186","volume":"14","author":"S McDonald","year":"2010","unstructured":"McDonald S, Angelov P (2010) Evolving Takagi Sugeno modeling with memory for slow process. Intern J Knowl Based Intell Eng Syst 14(1):11\u201319","journal-title":"Intern J Knowl Based Intell Eng Syst"},{"key":"9099_CR39","unstructured":"Popov AA, Bykhanov KV (2005) Modeling volatility of time series using fuzzy GARCH models. In: Annals of the 9th Russian\u2013Korean International Symposium on Science and Technology"},{"issue":"4\u20136","key":"9099_CR40","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1016\/j.neucom.2007.07.026","volume":"71","author":"J Qiao","year":"2008","unstructured":"Qiao J, Wang H (2008) A self-organising fuzzy neural network and its applications to function approximation and forecast modeling. Neurocomputing 71(4\u20136):564\u2013569","journal-title":"Neurocomputing"},{"issue":"9","key":"9099_CR41","doi-asserted-by":"crossref","first-page":"1260","DOI":"10.1016\/j.fss.2005.12.011","volume":"157","author":"H Rong","year":"2006","unstructured":"Rong H, Sundararajan N, Huang G, Saratchandran P (2006) Sequential adaptive fuzzy inference system (SAFIS) for nonlinear system identification and prediction. Fuzzy Sets Syst 157(9):1260\u20131275","journal-title":"Fuzzy Sets Syst"},{"issue":"6","key":"9099_CR42","doi-asserted-by":"crossref","first-page":"1296","DOI":"10.1109\/TFUZZ.2009.2029569","volume":"17","author":"J RubioJ D","year":"2009","unstructured":"Rubio JDJ (2009) SOFMLS: online self-organizing fuzzy modified least-squares network. IEEE Trans Fuzzy Syst 17(6):1296\u20131309","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"9099_CR43","doi-asserted-by":"crossref","unstructured":"Schwarz G (1978) Estimating the dimension of model. The Annuals of Statistics 6(2):461\u2013464","DOI":"10.1214\/aos\/1176344136"},{"issue":"4","key":"9099_CR44","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1007\/s12530-012-9059-0","volume":"3","author":"A Shaker","year":"2012","unstructured":"Shaker A, H\u00fcllermeier E (2012) IBLStreams: a system for instance-based classification and regression on data streams. Evolv Syst 3(4):235\u2013249","journal-title":"Evolv Syst"},{"issue":"2","key":"9099_CR45","doi-asserted-by":"crossref","first-page":"1928","DOI":"10.1109\/TNN.2011.2167720","volume":"22","author":"W Tung S","year":"2011","unstructured":"Tung SW, Quek C, Guan C (2011) SaFIN: A self-adaptive fuzzy inference network. IEEE Trans Neural Netw 22(2):1928\u20131940","journal-title":"IEEE Trans Neural Netw"},{"issue":"13","key":"9099_CR46","doi-asserted-by":"crossref","first-page":"3192","DOI":"10.1016\/j.physa.2008.01.074","volume":"387","author":"C Tseng","year":"2008","unstructured":"Tseng C, Chen S, Wang Y, Peng J (2008) Artificial neural network model of the hybrid EGARCH volatility of the taiwan stock index option prices. Physica A: Stat Mech Appl 387(13):3192\u20133200","journal-title":"Physica A: Stat Mech Appl"},{"issue":"8","key":"9099_CR47","doi-asserted-by":"crossref","first-page":"1279","DOI":"10.1109\/21.299710","volume":"24","author":"R Yager","year":"1994","unstructured":"Yager R, Filev D (1994) Approximate clustering via the mountain method. IEEE Trans Syst Man Cybernetics 24(8):1279\u20131284","journal-title":"IEEE Trans Syst Man Cybernetics"},{"issue":"5","key":"9099_CR48","doi-asserted-by":"crossref","first-page":"1229","DOI":"10.1109\/21.59986","volume":"20","author":"R Yager","year":"1990","unstructured":"Yager R (1990) A model of participatory learning. IEEE Trans Syst Man Cybernetics 20(5):1229\u20131234","journal-title":"IEEE Trans Syst Man Cybernetics"}],"container-title":["Evolving Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-013-9099-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12530-013-9099-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-013-9099-0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T05:19:16Z","timestamp":1716182356000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12530-013-9099-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,11,22]]},"references-count":48,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2014,6]]}},"alternative-id":["9099"],"URL":"https:\/\/doi.org\/10.1007\/s12530-013-9099-0","relation":{},"ISSN":["1868-6478","1868-6486"],"issn-type":[{"value":"1868-6478","type":"print"},{"value":"1868-6486","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,11,22]]}}}