{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T00:22:47Z","timestamp":1771546967076,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":35,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642051760","type":"print"},{"value":"9783642051777","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-05177-7_16","type":"book-chapter","created":{"date-parts":[[2009,12,5]],"date-time":"2009-12-05T08:44:48Z","timestamp":1260002688000},"page":"321-344","source":"Crossref","is-referenced-by-count":20,"title":["An Analysis of the FURIA Algorithm for Fuzzy Rule Induction"],"prefix":"10.1007","author":[{"given":"Jens Christian","family":"H\u00fchn","sequence":"first","affiliation":[]},{"given":"Eyke","family":"H\u00fcllermeier","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"3","key":"16_CR1","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1007\/s00500-008-0323-y","volume":"13","author":"J. Alcal\u00e1-Fernandez","year":"2009","unstructured":"Alcal\u00e1-Fernandez, J., S\u00e1nchez, L., Garc\u00eda, S., del Jesus, M.J., Ventura, S., Garrell, J.M., Otero, J., Romero, C., Bacardit, J., Rivas, V.M., Fern\u00e1ndez, J.C., Herrera, F.: KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Computing\u00a013(3), 307\u2013318 (2009)","journal-title":"Soft Computing"},{"key":"16_CR2","unstructured":"Asuncion, A., Newman, D.J.: UCI machine learning repository (2007), http:\/\/archive.ics.uci.edu\/ml\/index.html (Obtained on 22nd of August 2007)"},{"key":"16_CR3","unstructured":"Barker, D.: Dataset: Pasture production (2007), http:\/\/weka.sourceforge.net\/wiki\/index.php\/Datasets (Obtained on 20th of October 2007)"},{"key":"16_CR4","unstructured":"Bostr\u00f6m, H.: Pruning and exclusion criteria for unordered incremental reduced error pruning. In: Proceedings of the Workshop on Advances in Rule Learning, ECML, pp. 17\u201329 (2004)"},{"key":"16_CR5","unstructured":"Bulloch, B.: Dataset: Eucalyptus soil conservation (2007), http:\/\/weka.sourceforge.net\/wiki\/index.php\/Datasets (Obtained on 20th of October 2007)"},{"key":"16_CR6","first-page":"115","volume-title":"Proceedings of the 12th International Conference on Machine Learning, ICML","author":"W.W. Cohen","year":"1995","unstructured":"Cohen, W.W.: Fast effective rule induction. In: Prieditis, A., Russell, S. (eds.) Proceedings of the 12th International Conference on Machine Learning, ICML, Tahoe City, CA, USA, July 9-12, pp. 115\u2013123. Morgan Kaufmann, San Francisco (1995)"},{"issue":"1","key":"16_CR7","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1109\/TFUZZ.2005.861616","volume":"14","author":"I. Cloete","year":"2006","unstructured":"Cloete, I., van Zyl, J.: Fuzzy rule induction in a set covering framework. IEEE Transactions on Fuzzy Systems\u00a014(1), 93\u2013110 (2006)","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"1","key":"16_CR8","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/0031-3203(94)00085-Z","volume":"28","author":"Z. Chi","year":"1995","unstructured":"Chi, Z., Wu, J., Yan, H.: Handwritten numeral recognition using self-organizing maps and fuzzy rules. Pattern Recognition\u00a028(1), 59\u201366 (1995)","journal-title":"Pattern Recognition"},{"key":"16_CR9","volume-title":"Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition","author":"Z. Chi","year":"1996","unstructured":"Chi, Z., Yan, H., Pham, T.: Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition. World Scientific Publishing Co., Inc., River Edge (1996)"},{"key":"16_CR10","first-page":"1","volume":"7","author":"J. Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar, J.: Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research\u00a07, 1\u201330 (2006)","journal-title":"Journal of Machine Learning Research"},{"key":"16_CR11","doi-asserted-by":"publisher","first-page":"52","DOI":"10.2307\/2282330","volume":"56","author":"O.J. Dunn","year":"1961","unstructured":"Dunn, O.J.: Multiple comparisons among means. Journal of the American Statistical Association\u00a056, 52\u201364 (1961)","journal-title":"Journal of the American Statistical Association"},{"key":"16_CR12","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1007\/978-3-540-73400-0_21","volume-title":"Applications of Fuzzy Sets Theory","author":"A. Fern\u00e1ndez","year":"2007","unstructured":"Fern\u00e1ndez, A., Garc\u00eda, S., Herrera, F., del Jes\u00fas, M.J.: An analysis of the rule weights and fuzzy reasoning methods for linguistic rule based classification systems applied to problems with highly imbalanced data sets. In: Masulli, F., Mitra, S., Pasi, G. (eds.) WILF 2007. LNCS (LNAI), vol.\u00a04578, pp. 170\u2013178. Springer, Heidelberg (2007)"},{"issue":"200","key":"16_CR13","doi-asserted-by":"publisher","first-page":"675","DOI":"10.2307\/2279372","volume":"32","author":"M. Friedman","year":"1937","unstructured":"Friedman, M.: The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association\u00a032(200), 675\u2013701 (1937)","journal-title":"Journal of the American Statistical Association"},{"issue":"1","key":"16_CR14","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1214\/aoms\/1177731944","volume":"11","author":"M. Friedman","year":"1940","unstructured":"Friedman, M.: A comparison of alternative tests of significance for the problem of m rankings. The Annals of Mathematical Statistics\u00a011(1), 86\u201392 (1940)","journal-title":"The Annals of Mathematical Statistics"},{"issue":"1","key":"16_CR15","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1023\/A:1006524209794","volume":"13","author":"J. F\u00fcrnkranz","year":"1999","unstructured":"F\u00fcrnkranz, J.: Separate-and-Conquer rule learning. Artificial Intelligence Review\u00a013(1), 3\u201354 (1999)","journal-title":"Artificial Intelligence Review"},{"key":"16_CR16","first-page":"70","volume-title":"Proceedings of the 11th International Conference on Machine Learning, ICML","author":"J. F\u00fcrnkranz","year":"1994","unstructured":"F\u00fcrnkranz, J., Widmer, G.: Incremental reduced error pruning. In: Cohen, W.W., Hirsh, H. (eds.) Proceedings of the 11th International Conference on Machine Learning, ICML, New Brunswick, NJ, USA, pp. 70\u201377. Morgan Kaufmann, San Francisco (1994)"},{"issue":"2","key":"16_CR17","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1109\/91.755399","volume":"7","author":"A. Gonz\u00e1lez","year":"1999","unstructured":"Gonz\u00e1lez, A., Perez, R.: Slave: a genetic learning system based on an iterative approach. IEEE Transactions on Fuzzy Systems\u00a07(2), 176\u2013191 (1999)","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"3","key":"16_CR18","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1109\/3477.931534","volume":"31","author":"A. Gonz\u00e1lez","year":"2001","unstructured":"Gonz\u00e1lez, A., Perez, R.: Selection of relevant features in a fuzzy genetic learning algorithm. IEEE Transactions on Systems, Man, and Cybernetics, Part B\u00a031(3), 417\u2013425 (2001)","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part B"},{"key":"16_CR19","unstructured":"Harvey, W.: Dataset: Squash harvest stored \/ unstored (2007), http:\/\/weka.sourceforge.net\/wiki\/index.php\/Datasets (Obtained on 20th of October 2007)"},{"key":"16_CR20","doi-asserted-by":"crossref","unstructured":"H\u00fchn, J.C., H\u00fcllermeier, E.: Furia: an algorithm for unordered fuzzy rule induction. In: Data Mining and Knowledge Discovery (2009)","DOI":"10.1007\/s10618-009-0131-8"},{"issue":"3","key":"16_CR21","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1016\/j.fss.2005.05.036","volume":"156","author":"E. H\u00fcllermeier","year":"2005","unstructured":"H\u00fcllermeier, E.: Fuzzy sets in machine learning and data mining: Status and prospects. Fuzzy Sets and Systems\u00a0156(3), 387\u2013406 (2005)","journal-title":"Fuzzy Sets and Systems"},{"key":"16_CR22","doi-asserted-by":"crossref","unstructured":"H\u00fcllermeier, E., Vanderlooy, S.: Why fuzzy decision trees are good rankers. IEEE Transactions on Fuzzy Systems (2009)","DOI":"10.1109\/TFUZZ.2009.2026640"},{"issue":"4","key":"16_CR23","doi-asserted-by":"publisher","first-page":"506","DOI":"10.1109\/91.940964","volume":"9","author":"H. Ishibuchi","year":"2001","unstructured":"Ishibuchi, H., Nakashima, T.: Effect of rule weights in fuzzy rule-based classification systems. IEEE Transactions on Fuzzy Systems\u00a09(4), 506\u2013515 (2001)","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"4","key":"16_CR24","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1109\/TFUZZ.2004.841738","volume":"13","author":"H. Ishibuchi","year":"2005","unstructured":"Ishibuchi, H., Yamamoto, T.: Rule weight specification in fuzzy rule-based classification systems. IEEE Transactions on Fuzzy Systems\u00a013(4), 428\u2013436 (2005)","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"5","key":"16_CR25","doi-asserted-by":"publisher","first-page":"998","DOI":"10.1109\/TFUZZ.2007.894980","volume":"15","author":"C. Juang","year":"2007","unstructured":"Juang, C., Chiu, S., Chang, S.: A self-organizing TS-Type fuzzy network with support vector learning and its application to classification problems. IEEE Transactions on Fuzzy Systems\u00a015(5), 998\u20131008 (2007)","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"1","key":"16_CR26","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1007\/s10015-008-0515-7","volume":"13","author":"I. Kuwajima","year":"2008","unstructured":"Kuwajima, I., Nojima, Y., Ishibuchi, H.: Effects of constructing fuzzy discretization from crisp discretization for rule-based classifiers. Artificial Life and Robotics\u00a013(1), 294\u2013297 (2008)","journal-title":"Artificial Life and Robotics"},{"key":"16_CR27","unstructured":"Meyer, M., Vlachos, P.: Statlib (2007), http:\/\/lib.stat.cmu.edu\/"},{"issue":"3","key":"16_CR28","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1023\/A:1024099825458","volume":"52","author":"F. Provost","year":"2003","unstructured":"Provost, F., Domingos, P.: Tree induction for probability-based ranking. Machine Learning\u00a052(3), 199\u2013215 (2003)","journal-title":"Machine Learning"},{"key":"16_CR29","first-page":"43","volume-title":"Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, KDD","author":"F.J. Provost","year":"1997","unstructured":"Provost, F.J., Fawcett, T.: Analysis and visualization of classifier performance: Comparison under imprecise class and cost distributions. In: Heckerman, D., Mannila, H., Pregibon, D. (eds.) Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, KDD, Newport Beach, CA, USA, pp. 43\u201348. AAAI Press, Menlo Park (1997)"},{"key":"16_CR30","first-page":"445","volume-title":"Proceedings of the Fifteenth International Conference on Machine Learning, ICML","author":"F.J. Provost","year":"1998","unstructured":"Provost, F.J., Fawcett, T., Kohavi, R.: The case against accuracy estimation for comparing induction algorithms. In: Shavlik, J.W. (ed.) Proceedings of the Fifteenth International Conference on Machine Learning, ICML, Madison, WI, USA, pp. 445\u2013453. Morgan Kaufmann, San Francisco (1998)"},{"key":"16_CR31","volume-title":"Numerical Recipes in FORTRAN: The Art of Scientific Computing","author":"W.H. Press","year":"1992","unstructured":"Press, W.H., Flannery, B.P., Teukolsky, S.A., Vetterling, W.T.: Numerical Recipes in FORTRAN: The Art of Scientific Computing, 2nd edn. Cambridge University Press, Cambridge (1992)","edition":"2"},{"key":"16_CR32","series-title":"Lecture Notes in Computer Science","first-page":"3","volume-title":"Machine Learning: ECML-93","author":"J.R. Quinlan","year":"1993","unstructured":"Quinlan, J.R., Cameron-Jones, R.M.: FOIL: A midterm report. In: Brazdil, P.B. (ed.) ECML 1993. LNCS, vol.\u00a0667, pp. 3\u201320. Springer, Heidelberg (1993)"},{"issue":"3","key":"16_CR33","first-page":"239","volume":"5","author":"J.R. Quinlan","year":"1990","unstructured":"Quinlan, J.R.: Learning logical definitions from relations. Machine Learning\u00a05(3), 239\u2013266 (1990)","journal-title":"Machine Learning"},{"key":"16_CR34","volume-title":"C4.5: programs for machine learning","author":"J.R. Quinlan","year":"1993","unstructured":"Quinlan, J.R.: C4.5: programs for machine learning. Morgan Kaufmann, San Francisco (1993)"},{"key":"16_CR35","first-page":"464","volume-title":"Proceedings of the 12th International Conference on Machine Learning, ICML","author":"J.R. Quinlan","year":"1995","unstructured":"Quinlan, J.R.: MDL and categorial theories (continued). In: Prieditis, A., Russell, S.J. (eds.) Proceedings of the 12th International Conference on Machine Learning, ICML, Lake Tahoe, CA, USA, pp. 464\u2013470. Morgan Kaufmann, San Francisco (1995)"}],"container-title":["Studies in Computational Intelligence","Advances in Machine Learning I"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-05177-7_16.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,24]],"date-time":"2020-11-24T02:48:48Z","timestamp":1606186128000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-05177-7_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642051760","9783642051777"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-05177-7_16","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"value":"1860-949X","type":"print"},{"value":"1860-9503","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010]]}}}