{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:31:37Z","timestamp":1761597097425},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2008,8,21]],"date-time":"2008-08-21T00:00:00Z","timestamp":1219276800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2009,3]]},"DOI":"10.1007\/s00500-008-0365-1","type":"journal-article","created":{"date-parts":[[2008,8,20]],"date-time":"2008-08-20T09:51:19Z","timestamp":1219225879000},"page":"511-519","source":"Crossref","is-referenced-by-count":33,"title":["Parallel distributed genetic fuzzy rule selection"],"prefix":"10.1007","volume":"13","author":[{"given":"Yusuke","family":"Nojima","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hisao","family":"Ishibuchi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Isao","family":"Kuwajima","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2008,8,21]]},"reference":[{"key":"365_CR1","volume-title":"Evolutionary multiobjective optimization","year":"2005","unstructured":"Abraham A, Jain L, Goldberg R (eds) (2005) Evolutionary multiobjective optimization. Springer, London"},{"key":"365_CR2","first-page":"307","volume-title":"Advances in knowledge discovery and data mining","author":"R Agrawal","year":"1996","unstructured":"Agrawal R, Mannila H, Srikant R, Toivonen H, Verkamo AI (1996) Fast discovery of association rules. In: Fayyad UM et\u00a0al (eds) Advances in knowledge discovery and data mining. AAAI Press, Menlo Park, pp 307\u2013328"},{"issue":"5","key":"365_CR3","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1109\/TEVC.2002.800880","volume":"6","author":"E Alba","year":"2002","unstructured":"Alba E, Tomassini M (2002) Parallelism and evolutionary algorithms. IEEE Trans Evol Comput 6(5):443\u2013462","journal-title":"IEEE Trans Evol Comput"},{"key":"365_CR4","unstructured":"Araujo DLA, Lopes HS, Freitas AA (2000) Rule discovery with a parallel genetic algorithm. In: Proceedings of GECCO Workshop on Data Mining with Evolutionary Computation, pp 89\u201392"},{"issue":"7","key":"365_CR5","doi-asserted-by":"crossref","first-page":"953","DOI":"10.1016\/j.patrec.2004.09.043","volume":"26","author":"JR Cano","year":"2005","unstructured":"Cano JR, Herrera F, Lozano M (2005) Stratification for scaling up evolutionary prototype selection. Pattern Recognit Lett 26(7):953\u2013963","journal-title":"Pattern Recognit Lett"},{"issue":"3","key":"365_CR6","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/j.asoc.2005.02.006","volume":"6","author":"JR Cano","year":"2006","unstructured":"Cano JR, Herrera F, Lozano M (2006) On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining. Appl Soft Comput 6(3):323\u2013332","journal-title":"Appl Soft Comput"},{"key":"365_CR7","unstructured":"Cantu-Paz E (1997) A survey of parallel genetic algorithms, IlliGAL Report No. 95003"},{"key":"365_CR8","volume-title":"Interpretability issues in fuzzy modeling","year":"2003","unstructured":"Casillas J, Cordon O, Herrera F, Magdalena L (eds) (2003a) Interpretability issues in fuzzy modeling. Springer, Berlin"},{"key":"365_CR9","volume-title":"Accuracy improvements in linguistic fuzzy modeling","year":"2003","unstructured":"Casillas J, Cordon O, Herrera F, Magdalena L (eds) (2003b) Accuracy improvements in linguistic fuzzy modeling. Springer, Berlin"},{"issue":"3","key":"365_CR10","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1007\/BF03325101","volume":"1","author":"CAC Coello","year":"1999","unstructured":"Coello CAC (1999) A comprehensive survey of evolutionary-based multiobjective optimization techniques. Knowl Inform Syst 1(3):269\u2013308","journal-title":"Knowl Inform Syst"},{"key":"365_CR11","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-5184-0","volume-title":"Evolutionary algorithms for solving multi-objective problems","author":"CAC Coello","year":"2002","unstructured":"Coello CAC, van Veldhuizen DA, Lamont GB (2002) Evolutionary algorithms for solving multi-objective problems. Kluwer, Boston"},{"issue":"1","key":"365_CR12","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/S0888-613X(00)88942-2","volume":"20","author":"O Cordon","year":"1999","unstructured":"Cordon O, del Jesus MJ, Herrera F (1999) A proposal on reasoning methods in fuzzy rule-based classification systems. Int J Approx Reason 20(1):21\u201345","journal-title":"Int J Approx Reason"},{"key":"365_CR13","doi-asserted-by":"crossref","unstructured":"Cordon O, Herrera F, Hoffman F, Magdalena L (2001) Genetic fuzzy systems. World Scientific, Singapore","DOI":"10.1142\/4177"},{"issue":"1","key":"365_CR14","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/S0165-0114(03)00111-8","volume":"141","author":"O Cordon","year":"2004","unstructured":"Cordon O, Gomide F, Herrera F, Hoffmann F, Magdalena L (2004) Ten years of genetic fuzzy systems: current framework and new trends. Fuzzy Sets Syst 141(1):5\u201331","journal-title":"Fuzzy Sets Syst"},{"key":"365_CR15","volume-title":"Multi-objective optimization using evolutionary algorithms","author":"K Deb","year":"2001","unstructured":"Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley, Chichester"},{"key":"365_CR16","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-662-04923-5","volume-title":"Data mining and knowledge discovery with evolutionary algorithms","author":"AA Freitas","year":"2002","unstructured":"Freitas AA (2002) Data mining and knowledge discovery with evolutionary algorithms. Springer, Berlin"},{"issue":"1","key":"365_CR17","doi-asserted-by":"crossref","first-page":"59","DOI":"10.5019\/j.ijcir.2005.23","volume":"1","author":"F Herrera","year":"2005","unstructured":"Herrera F (2005) Genetic fuzzy systems: Status, critical considerations and future directions. Int J Comput Intell Res 1(1):59\u201367","journal-title":"Int J Comput Intell Res"},{"key":"365_CR18","doi-asserted-by":"crossref","unstructured":"Ishibuchi H. Nojima Y, Kuwajima I (2006) Genetic rule selection as a postprocessing procedure in fuzzy data mining. In: Proceedings of 2006 International Symposium on Evolving Fuzzy Systems, pp 286\u2013291","DOI":"10.1109\/ISEFS.2006.251149"},{"key":"365_CR19","doi-asserted-by":"crossref","unstructured":"Ishibuchi H (2007) Evolutionary multiobjective design of fuzzy rule-based systems. In: Proceedings of First IEEE Symposium on Foundations of Computational Intelligence, pp 9\u201316","DOI":"10.1109\/FOCI.2007.372141"},{"issue":"4","key":"365_CR20","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1109\/91.940964","volume":"9","author":"H Ishibuchi","year":"2001","unstructured":"Ishibuchi H, Nakashima T (2001) Effect of rule weights in fuzzy rule-based classification systems. IEEE Trans Fuzzy Syst 9(4):506\u2013515","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"1","key":"365_CR21","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/S0165-0114(03)00114-3","volume":"141","author":"H Ishibuchi","year":"2004","unstructured":"Ishibuchi H, Yamamoto T (2004) Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining. Fuzzy Sets Syst 141(1):59\u201388","journal-title":"Fuzzy Sets Syst"},{"issue":"1","key":"365_CR22","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/0165-0114(92)90032-Y","volume":"52","author":"H Ishibuchi","year":"1992","unstructured":"Ishibuchi H, Nozaki K, Tanaka H (1992) Distributed representation of fuzzy rules and its application to pattern classification. Fuzzy Sets Syst 52(1):21\u201332","journal-title":"Fuzzy Sets Syst"},{"issue":"3","key":"365_CR23","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1109\/91.413232","volume":"3","author":"H Ishibuchi","year":"1995","unstructured":"Ishibuchi H, Nozaki K, Yamamoto N, Tanaka H (1995) Selecting fuzzy if-then rules for classification problems using genetic algorithms. IEEE Trans Fuzzy Syst 3(3):260\u2013270","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"2","key":"365_CR24","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/S0165-0114(96)00098-X","volume":"89","author":"H Ishibuchi","year":"1997","unstructured":"Ishibuchi H, Murata T, Turksen IB (1997) Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems. Fuzzy Sets Syst 89(2):135\u2013150","journal-title":"Fuzzy Sets Syst"},{"issue":"2","key":"365_CR25","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/S0165-0114(98)00223-1","volume":"103","author":"H Ishibuchi","year":"1999","unstructured":"Ishibuchi H, Nakashima T, Morisawa T (1999) Voting in fuzzy rule-based systems for pattern classification problems. Fuzzy Sets Syst 103(2):223\u2013238","journal-title":"Fuzzy Sets Syst"},{"issue":"1\u20134","key":"365_CR26","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/S0020-0255(01)00144-X","volume":"136","author":"H Ishibuchi","year":"2001","unstructured":"Ishibuchi H, Nakashima T, Murata T (2001) Three-objective genetics-based machine learning for linguistic rule extraction. Inform Sci 136(1\u20134):109\u2013133","journal-title":"Inform Sci"},{"key":"365_CR27","volume-title":"Classification and modeling with linguistic information granules: advanced approaches to linguistic data mining","author":"H Ishibuchi","year":"2004","unstructured":"Ishibuchi H, Nakashima T, Nii M (2004) Classification and modeling with linguistic information granules: advanced approaches to linguistic data mining. Springer, Berlin"},{"key":"365_CR28","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1007\/978-3-540-72432-2_39","volume-title":"Analysis and design of intelligent systems using soft computing techniques (Advances in Soft Computing 41)","author":"H Ishibuchi","year":"2007","unstructured":"Ishibuchi H, Kuwajima I, Nojima Y (2007) Use of Pareto-optimal and near Pareto-optimal rules as candidate rules in genetic fuzzy rule selection. In: Melin P et\u00a0al (eds) Analysis and design of intelligent systems using soft computing techniques (Advances in Soft Computing 41). Springer, Berlin, pp 387\u2013396"},{"key":"365_CR29","volume-title":"Multi-objective machine learning","year":"2006","unstructured":"Jin Y (ed) (2006) Multi-objective machine learning. Springer, Berlin"},{"key":"365_CR30","doi-asserted-by":"crossref","unstructured":"Liu H, Motoda H (1998a) Feature selection for knowledge discovery and data mining. Kluwer, Dordrecht","DOI":"10.1007\/978-1-4615-5689-3"},{"key":"365_CR31","unstructured":"Liu H, Motoda H (1998b) Instance selection and construction for data mining. Kluwer, Dordrecht"},{"key":"365_CR32","unstructured":"Llora X, Garrell JM (2001) Knowledge-independent data mining with fine-grained parallel evolutionary algorithms. In: Proceedings of the Genetic and Evolutionary Computation Conference, pp 461\u2013468"},{"key":"365_CR33","unstructured":"Llora X, Garrell JM (2002) Coevolving different knowledge representations with fine-grained parallel learning classifier systems. In: Proceedings of the Genetic and Evolutionary Computation Conference, pp 934\u2013941"},{"key":"365_CR34","unstructured":"Nojima Y, Ishibuchi H (2008) Computational efficiency of parallel distributed genetic fuzzy rule selection for large data sets. In: Proceedings of Information Processing and Management of Uncertainty in Knowledge-Based Systems, pp 1137\u20131142"},{"key":"365_CR35","doi-asserted-by":"crossref","unstructured":"Nojima Y, Ishibuchi H, Kuwajima I (2006) Comparison of search ability between genetic fuzzy rule selection and fuzzy genetics-based machine learning In: Proceedings of 2006 International Symposium on Evolving Fuzzy Systems, pp 125\u2013130","DOI":"10.1109\/ISEFS.2006.251148"},{"key":"365_CR36","unstructured":"Sheskin D (2007) Handbook of parametric and nonparametric statistical procedures, 4th edn. Chapman & Hall, London"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-008-0365-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-008-0365-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-008-0365-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T01:39:55Z","timestamp":1559093995000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-008-0365-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,8,21]]},"references-count":36,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2009,3]]}},"alternative-id":["365"],"URL":"https:\/\/doi.org\/10.1007\/s00500-008-0365-1","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,8,21]]}}}