Publicação
eFSLab: Developing evolving fuzzy systems from data in a friendly environment
| datacite.subject.sdg | 03:Saúde de Qualidade | |
| datacite.subject.sdg | 07:Energias Renováveis e Acessíveis | |
| datacite.subject.sdg | 11:Cidades e Comunidades Sustentáveis | |
| dc.contributor.author | Dourado, Antonio | |
| dc.contributor.author | Aires, Lara | |
| dc.contributor.author | Ramos, J. Victor | |
| dc.date.accessioned | 2026-05-27T14:28:39Z | |
| dc.date.available | 2026-05-27T14:28:39Z | |
| dc.date.issued | 2009-08-23 | |
| dc.description.abstract | A software lab is presented to support the development of fuzzy systems from data (data-driven approach) avoiding redundancy and unnecessary complexity in the obtained membership functions, in order to give some semantic meaning to the results. On-line mechanisms for merging membership functions and rule base simplification are implemented improving interpretability and transparency of the produced fuzzy models, allowing the minimization of redundancy and complexity of the models during their development, contributing to the transparency of the obtained rules. The application, developed in Matlab environment, and public under GNU license, is applied to one benchmark problem- the Box-Jenkins time series prediction- with illustrative results. | eng |
| dc.description.sponsorship | This work has been partially supported by Project CLASSE POSC/EIA/58162/2004 including EU FEDER Support | |
| dc.identifier.citation | A. Dourado, L. Aires and J. V. Ramos, "eFSLab: Developing evolving fuzzy systems from data in a friendly environment," 2009 European Control Conference (ECC), Budapest, Hungary, 2009, pp. 922-927, doi: 10.23919/ECC.2009.7074522 | |
| dc.identifier.doi | 10.23919/ecc.2009.7074522 | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/16357 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | IEEE | |
| dc.relation.hasversion | https://ieeexplore.ieee.org/document/7074522 | |
| dc.relation.ispartof | 2009 European Control Conference (ECC) | |
| dc.rights.uri | N/A | |
| dc.subject | Fuzzy sets | |
| dc.subject | Fuzzy systems | |
| dc.subject | Merging | |
| dc.subject | Biological system modeling | |
| dc.subject | Computational modeling | |
| dc.subject | Complexity theory | |
| dc.subject | Benchmark testing | |
| dc.title | eFSLab: Developing evolving fuzzy systems from data in a friendly environment | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.conferenceDate | 2009-08-23 | |
| oaire.citation.conferencePlace | Budapest, Hungary | |
| oaire.citation.endPage | 927 | |
| oaire.citation.startPage | 922 | |
| oaire.citation.title | 2009 European Control Conference (ECC) | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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