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dc.contributor.authorRiza, Lala Septem
dc.contributor.authorBergmeir, Christoph Norbert
dc.contributor.authorHerrera Triguero, Francisco 
dc.contributor.authorBenítez Sánchez, José Manuel 
dc.date.accessioned2016-01-22T08:32:53Z
dc.date.available2016-01-22T08:32:53Z
dc.date.issued2015
dc.identifier.citationRiza, L.S.; et al. Frbs: Fuzzy Rule-Based Systems for Classification and Regression in R. Journal of Statistical Software, 65(6): online (2015). [http://hdl.handle.net/10481/39549]es_ES
dc.identifier.issn1548-7660
dc.identifier.urihttp://hdl.handle.net/10481/39549
dc.description.abstractFuzzy rule-based systems (FRBSs) are a well-known method family within soft computing. They are based on fuzzy concepts to address complex real-world problems. We present the R package frbs which implements the most widely used FRBS models, namely, Mamdani and Takagi Sugeno Kang (TSK) ones, as well as some common variants. In addition a host of learning methods for FRBSs, where the models are constructed from data, are implemented. In this way, accurate and interpretable systems can be built for data analysis and modeling tasks. In this paper, we also provide some examples on the usage of the package and a comparison with other common classification and regression methods available in R.es_ES
dc.description.sponsorshipThis work was supported in part by the Spanish Ministry of Science and Innovation (MICINN) under Projects TIN2009-14575, TIN2011-28488, TIN2013-47210-P, and P10-TIC-06858. Bergmeir held a scholarship from the Spanish Ministry of Education (MEC) of the \Programa de Formación del Profesorado Universitario (FPU)".es_ES
dc.language.isoenges_ES
dc.publisherAmerican Statistical Associationes_ES
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 3.0 Licensees_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es_ES
dc.subjectFuzzy inference systemses_ES
dc.subjectSoft computinges_ES
dc.subjectFuzzy sets es_ES
dc.subjectGenetic fuzzy systemses_ES
dc.subjectFuzzy neural networkses_ES
dc.titleFrbs: Fuzzy Rule-Based Systems for Classification and Regression in Res_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.18637/jss.v065.i06


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