Publikation: Building Fuzzy Graphs from Examples
Lade...
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
1996
Autor:innen
Huber, Klaus-Peter
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published
Erschienen in
Proceedings of IEEE 5th International Fuzzy Systems. IEEE, 1996, pp. 608-613. ISBN 0-7803-3645-3. Available under: doi: 10.1109/FUZZY.1996.551809
Zusammenfassung
Function approximation based on example data has gained considerable interest in the past. The automatic extraction of a fuzzy rule base has proven to be a powerful tool to build approximators that allow an interpretation of the underlying model. In contrast to most known systems which find a set of rules based on a global grid that covers the whole input space, a different approach is presented in this paper. A constructive algorithm finds a set of local individual rules forming a fuzzy graph. The proposed algorithm builds the fuzzy graph from scratch, without the need to control additional parameters and shows promising performance and robustness against noise on an artificial dataset.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Konferenz
IEEE 5th International Fuzzy Systems, New Orleans, LA, USA
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690
BERTHOLD, Michael R., Klaus-Peter HUBER, 1996. Building Fuzzy Graphs from Examples. IEEE 5th International Fuzzy Systems. New Orleans, LA, USA. In: Proceedings of IEEE 5th International Fuzzy Systems. IEEE, 1996, pp. 608-613. ISBN 0-7803-3645-3. Available under: doi: 10.1109/FUZZY.1996.551809BibTex
@inproceedings{Berthold1996Build-24203, year={1996}, doi={10.1109/FUZZY.1996.551809}, title={Building Fuzzy Graphs from Examples}, isbn={0-7803-3645-3}, publisher={IEEE}, booktitle={Proceedings of IEEE 5th International Fuzzy Systems}, pages={608--613}, author={Berthold, Michael R. and Huber, Klaus-Peter} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/24203"> <dcterms:issued>1996</dcterms:issued> <dc:creator>Huber, Klaus-Peter</dc:creator> <dcterms:bibliographicCitation>Proceedings of the Fifth IEEE International Conference on Fuzzy Systems : September 8 - 11, 1996, Hyatt Regency Hotel, New Orleans, Louisiana; FUZZ-IEEE '96 ; vol. 1 / Frederick E. Petry, general chair. - Piscataway, NJ : IEEE Service Center, 1996. - S. 608-613. -ISBN 0-7803-3645-3</dcterms:bibliographicCitation> <dc:creator>Berthold, Michael R.</dc:creator> <dc:contributor>Berthold, Michael R.</dc:contributor> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <dc:rights>terms-of-use</dc:rights> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/24203"/> <dc:language>eng</dc:language> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:abstract xml:lang="eng">Function approximation based on example data has gained considerable interest in the past. The automatic extraction of a fuzzy rule base has proven to be a powerful tool to build approximators that allow an interpretation of the underlying model. In contrast to most known systems which find a set of rules based on a global grid that covers the whole input space, a different approach is presented in this paper. A constructive algorithm finds a set of local individual rules forming a fuzzy graph. The proposed algorithm builds the fuzzy graph from scratch, without the need to control additional parameters and shows promising performance and robustness against noise on an artificial dataset.</dcterms:abstract> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dcterms:title>Building Fuzzy Graphs from Examples</dcterms:title> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-08-05T09:48:44Z</dc:date> <dc:contributor>Huber, Klaus-Peter</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-08-05T09:48:44Z</dcterms:available> </rdf:Description> </rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Nein