{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T05:10:08Z","timestamp":1746421808487,"version":"3.40.4"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319112701"},{"type":"electronic","value":"9783319112718"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-11271-8_2","type":"book-chapter","created":{"date-parts":[[2014,10,16]],"date-time":"2014-10-16T06:07:09Z","timestamp":1413439629000},"page":"19-32","source":"Crossref","is-referenced-by-count":0,"title":["Application of Base Learners as Conditional Input for Fuzzy Rule-Based Combined System"],"prefix":"10.1007","author":[{"given":"Athanasios","family":"Tsakonas","sequence":"first","affiliation":[]},{"given":"Bogdan","family":"Gabrys","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"2_CR1","unstructured":"Alba, E., Cotta, C., Troya, J.: Evolutionary design of fuzzy logic controllers using strongly-typed GP. In: Proc. 1996 IEEE Int\u2019l Symposium on Intelligent Control, New York, NY (1996)"},{"issue":"1","key":"2_CR2","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/j.inffus.2004.04.004","volume":"6","author":"G. Brown","year":"2005","unstructured":"Brown, G., Wyatt, J., Harris, R., Yao, X.: Diversity creation methods: a survey and categorisation. Inf. Fusion\u00a06(1), 5\u201320 (2005)","journal-title":"Inf. Fusion"},{"key":"2_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1007\/978-3-540-28651-6_91","volume-title":"Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2004","author":"A. Chandra","year":"2004","unstructured":"Chandra, A., Yao, X.: Divace: Diverse and accurate ensemble learning algorithm. In: Yang, Z.R., Yin, H., Everson, R.M. (eds.) IDEAL 2004. LNCS, vol.\u00a03177, pp. 619\u2013625. Springer, Heidelberg (2004)"},{"key":"2_CR4","doi-asserted-by":"publisher","first-page":"686","DOI":"10.1016\/j.neucom.2005.12.014","volume":"69","author":"A. Chandra","year":"2006","unstructured":"Chandra, A., Yao, X.: Evolving hybrid ensembles of learning machines for better generalisation. Neurocomputing\u00a069, 686\u2013700 (2006)","journal-title":"Neurocomputing"},{"issue":"4","key":"2_CR5","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1016\/0169-2070(89)90012-5","volume":"5","author":"R. Clemen","year":"1989","unstructured":"Clemen, R.: Combining forecasts: A review and annotated bibliography. International Journal of Forecasting\u00a05(4), 559\u2013583 (1989)","journal-title":"International Journal of Forecasting"},{"issue":"4","key":"2_CR6","doi-asserted-by":"publisher","first-page":"794","DOI":"10.1016\/j.dss.2011.01.014","volume":"51","author":"A. Coelho","year":"2011","unstructured":"Coelho, A., Fernandes, E., Faceli, K.: Multi-objective design of hierarchical consensus functions for clustering ensembles via genetic programming. Decision Support Systems\u00a051(4), 794\u2013809 (2011)","journal-title":"Decision Support Systems"},{"key":"2_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/3-540-45014-9_1","volume-title":"Multiple Classifier Systems","author":"T.G. Dietterich","year":"2000","unstructured":"Dietterich, T.G.: Ensemble methods in machine learning. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, vol.\u00a01857, pp. 1\u201315. Springer, Heidelberg (2000)"},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"Duin, R.: The combining classifier: to train or not to train? In: Proc. of the 16th Int\u2019l Conf. on Pattern Recognition, pp. 765\u2013770 (2002)","DOI":"10.1109\/ICPR.2002.1048415"},{"issue":"30","key":"2_CR9","first-page":"308","volume":"30","author":"P. Ein-Dor","year":"1984","unstructured":"Ein-Dor, P., Feldmesser, J.: Attributes of the performance of central processing units: A relative performance prediction model. Commun. ACM\u00a030(30), 308\u2013317 (1984)","journal-title":"Commun. ACM"},{"key":"2_CR10","unstructured":"Evangelista, P., Bonissone, P., Embrechts, M., Szymanski, B.: Unsupervised fuzzy ensembles and their use in intrusion detection. In: European Symposium on Artificial Neural Networks (ESANN 2005), Bruges, Belgium (2005)"},{"key":"2_CR11","doi-asserted-by":"crossref","unstructured":"Fernandez, F., Tommassini, M., Vanneschi, L.: An empirical study of multipopulation genetic programming. Genetic Programming and Evolvable Machines\u00a04(1) (2003)","DOI":"10.1023\/A:1021873026259"},{"key":"2_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/3-540-36599-0_6","volume-title":"Genetic Programming","author":"G. Folino","year":"2003","unstructured":"Folino, G., Pizzuti, C., Spezzano, G.: Ensemble techniques for parallel genetic programming based classifiers. In: Ryan, C., Soule, T., Keijzer, M., Tsang, E.P.K., Poli, R., Costa, E. (eds.) EuroGP 2003. LNCS, vol.\u00a02610, pp. 59\u201369. Springer, Heidelberg (2003)"},{"key":"2_CR13","unstructured":"Frank, A., Asuncion, A.: UCI Machine Learning Repository. University of California, School of Information and Computer Science, Irvine, CA (2010), http:\/\/archive.ics.uci.edu\/ml"},{"key":"2_CR14","doi-asserted-by":"crossref","unstructured":"Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.: The weka data mining software: An update. SIGKDD Explorations\u00a011(1) (2009)","DOI":"10.1145\/1656274.1656278"},{"issue":"1","key":"2_CR15","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.artmed.2005.06.002","volume":"36","author":"J. Hong","year":"2006","unstructured":"Hong, J., Cho, S.: The classification of cancer based on dna microarray data that uses diverse ensemble genetic programming. Artif. Intell. in Med.\u00a036(1), 43\u201358 (2006)","journal-title":"Artif. Intell. in Med."},{"key":"2_CR16","doi-asserted-by":"crossref","unstructured":"Ishibuchi, H.: Multiobjective genetic fuzzy systems: Review and future research directions. In: IEEE Int\u2019l Conf. on Fuzzy Systems (FUZZ-IEEE 2007), pp. 59\u201369. Imperial College (2007)","DOI":"10.1109\/FUZZY.2007.4295487"},{"key":"2_CR17","doi-asserted-by":"crossref","unstructured":"Jacobs, R.: Bias-variance analyses of mixture-of-experts architectures. Neural Computation, 369\u2013383 (1997)","DOI":"10.1162\/neco.1997.9.2.369"},{"issue":"4","key":"2_CR18","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1109\/TFUZZ.2008.924209","volume":"17","author":"R. Jensen","year":"2009","unstructured":"Jensen, R., Shen, Q.: New approaches to fuzzy-rough feature selection. IEEE Trans. on Fuzzy Systems\u00a017(4), 824\u2013838 (2009)","journal-title":"IEEE Trans. on Fuzzy Systems"},{"issue":"5","key":"2_CR19","doi-asserted-by":"publisher","first-page":"1288","DOI":"10.1002\/aic.12346","volume":"57","author":"P. Kadlec","year":"2011","unstructured":"Kadlec, P., Gabrys, B.: Local learning-based adaptive soft sensor for catalyst activation prediction. AIChE Journal\u00a057(5), 1288\u20131301 (2011)","journal-title":"AIChE Journal"},{"key":"2_CR20","volume-title":"Genetic programming - On the programming of computers by means of natural selection","author":"J. Koza","year":"1992","unstructured":"Koza, J.: Genetic programming - On the programming of computers by means of natural selection. The MIT Press, Cambridge (1992)"},{"issue":"6","key":"2_CR21","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1109\/TFUZZ.2003.819842","volume":"11","author":"L. Kuncheva","year":"2003","unstructured":"Kuncheva, L.: Fuzzy versus nonfuzzy in combining classifiers designed by boosting. IEEE Trans. on Fuzzy Systems\u00a011(6), 729\u2013741 (2003)","journal-title":"IEEE Trans. on Fuzzy Systems"},{"key":"2_CR22","doi-asserted-by":"crossref","unstructured":"Kuncheva, L.: Combining pattern classifiers: methods and algorithms. John Wiley and Sons, New York (2004)","DOI":"10.1002\/0471660264"},{"key":"2_CR23","unstructured":"Liaw, A., Wiener, M.: Classification and regression by randomforest. Expert Systems with Applications (2002) (under review)"},{"key":"2_CR24","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1007\/3-540-44795-4_30","volume-title":"Machine Learning: ECML 2001","author":"V. Medina-Chico","year":"2001","unstructured":"Medina-Chico, V., Su\u00e1rez, A., Lutsko, J.F.: Backpropagation in decision trees for regression. In: Flach, P.A., De Raedt, L. (eds.) ECML 2001. LNCS (LNAI), vol.\u00a02167, pp. 348\u2013359. Springer, Heidelberg (2001)"},{"key":"2_CR25","unstructured":"Quinlan, J.R.: Learning with continuous classes. In: AI 1992. World Scientific, Singapore (1992)"},{"issue":"2","key":"2_CR26","first-page":"1","volume":"7","author":"D. Ruta","year":"2000","unstructured":"Ruta, D., Gabrys, B.: An overview of classifier fusion methods. Computing and Information Systems\u00a07(2), 1\u201310 (2000)","journal-title":"Computing and Information Systems"},{"key":"2_CR27","volume-title":"Learning with Kernels - Support Vector Machines, Regularization, Optimization and Beyond","author":"B. Scholkopf","year":"2002","unstructured":"Scholkopf, B., Smola, A.: Learning with Kernels - Support Vector Machines, Regularization, Optimization and Beyond. The MIT Press, Cambridge (2002)"},{"key":"2_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1007\/3-540-45014-9_3","volume-title":"Multiple Classifier Systems","author":"A. Sharkey","year":"2000","unstructured":"Sharkey, A., Sharkey, N., Gerecke, U., Chandroth, G.: The test and select approach to ensemble combination. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, vol.\u00a01857, pp. 30\u201344. Springer, Heidelberg (2000)"},{"issue":"1","key":"2_CR29","doi-asserted-by":"publisher","first-page":"691","DOI":"10.1016\/j.ins.2005.03.012","volume":"17","author":"A. Tsakonas","year":"2006","unstructured":"Tsakonas, A.: A comparison of classification accuracy of four genetic programming evolved intelligent structures. Information Sciences\u00a017(1), 691\u2013724 (2006)","journal-title":"Information Sciences"},{"key":"2_CR30","unstructured":"Tsakonas, A., Gabrys, B.: Evolving takagi-sugeno-kang fuzzy systems using multi-population grammar guided genetic programmings. In: Int\u2019l Conf. Evol. Comp. Theory and Appl. (ECTA 2011), Paris, France (2011)"},{"issue":"18","key":"2_CR31","doi-asserted-by":"publisher","first-page":"13253","DOI":"10.1016\/j.eswa.2012.05.076","volume":"39","author":"A. Tsakonas","year":"2012","unstructured":"Tsakonas, A., Gabrys, B.: Gradient: Grammar-driven genetic programming framework for building multi-component, hierarchical predictive systems. Expert Systems with Applications\u00a039(18), 13253\u201313266 (2012)","journal-title":"Expert Systems with Applications"},{"key":"2_CR32","doi-asserted-by":"crossref","unstructured":"Tsakonas, A., Gabrys, B.: A fuzzy evolutionary framework for combining ensembles. Applied Soft Computing (2013), doi:dx.doi.org\/10.1016\/j.asoc.2012.12.027","DOI":"10.1016\/j.asoc.2012.12.027"},{"issue":"6","key":"2_CR33","doi-asserted-by":"publisher","first-page":"559","DOI":"10.12989\/cac.2008.5.6.559","volume":"5","author":"I.-C. Yeh","year":"2008","unstructured":"Yeh, I.-C.: Modeling slump of concrete with fly ash and superplasticizer. Computers and Concrete\u00a05(6), 559\u2013572 (2008)","journal-title":"Computers and Concrete"},{"issue":"1","key":"2_CR34","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.ins.2003.03.028","volume":"163","author":"Y. Zhang","year":"2004","unstructured":"Zhang, Y., Bhattacharyya, S.: Genetic programming in classifying large-scale data: an ensemble method. Information Sciences\u00a0163(1), 85\u2013101 (2004)","journal-title":"Information Sciences"},{"key":"2_CR35","first-page":"797","volume-title":"17th Int\u2019l Joint Conf. Artif. Intell.","author":"Z. Zhou","year":"2001","unstructured":"Zhou, Z., Wu, J., Jiang, Y., Chen, R.: Genetic algorithm based selective neural network ensemble. In: 17th Int\u2019l Joint Conf. Artif. Intell., pp. 797\u2013802. Morgan Kaufmann, USA (2001)"}],"container-title":["Studies in Computational Intelligence","Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-11271-8_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T04:53:05Z","timestamp":1746420785000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-11271-8_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319112701","9783319112718"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-11271-8_2","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2015]]}}}