Simulation Data Analysis Using Fuzzy Graphs

Huber, Klaus-Peter; Berthold, Michael R.

Simulation Data Analysis Using Fuzzy Graphs

Dateien

Huber_240797.pdfGröße: 1.05 MBDownloads: 910

Datum

2006

Autor:innen

Huber, Klaus-Peter

Berthold, Michael R.

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

LIU, Xiaohui, ed., Paul COHEN, ed., Michael BERTHOLD, ed.. Advances in Intelligent Data Analysis Reasoning about Data. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006, pp. 347-358. Lecture Notes in Computer Science. 1280. ISBN 978-3-540-63346-4. Available under: doi: 10.1007/BFb0052853

Zusammenfassung

Analysis of simulation models has gained considerable interest in the past. However, their complexity still remains a considerable drawback in practical applications. A promising concept is to analyze the data from simulation experiments. Existing approaches are either restricted to simple models or are hard to interpret. We present an efficient algorithm that constructs a fuzzy graph model from simulation data and we show that the resulting system approximates also complex model functions with an adjustable precision. In addition the Fuzzy Graph allows the analyst to directly access easy to interpret if-then-rules. These rules help to understand the original simulation model, which is shown with a real world token bus model.

Fachgebiet (DDC)

004 Informatik

Zitieren

ISO 690

HUBER, Klaus-Peter, Michael R. BERTHOLD, 2006. Simulation Data Analysis Using Fuzzy Graphs. In: LIU, Xiaohui, ed., Paul COHEN, ed., Michael BERTHOLD, ed.. Advances in Intelligent Data Analysis Reasoning about Data. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006, pp. 347-358. Lecture Notes in Computer Science. 1280. ISBN 978-3-540-63346-4. Available under: doi: 10.1007/BFb0052853

BibTex

@inproceedings{Huber2006-05-19Simul-24079,
  year={2006},
  doi={10.1007/BFb0052853},
  title={Simulation Data Analysis Using Fuzzy Graphs},
  number={1280},
  isbn={978-3-540-63346-4},
  publisher={Springer Berlin Heidelberg},
  address={Berlin, Heidelberg},
  series={Lecture Notes in Computer Science},
  booktitle={Advances in Intelligent Data Analysis Reasoning about Data},
  pages={347--358},
  editor={Liu, Xiaohui and Cohen, Paul and Berthold, Michael},
  author={Huber, Klaus-Peter and Berthold, Michael R.}
}

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/123456789/24079">
    <dc:creator>Huber, Klaus-Peter</dc:creator>
    <dc:creator>Berthold, Michael R.</dc:creator>
    <dc:contributor>Berthold, Michael R.</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:issued>2006-05-19</dcterms:issued>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:bibliographicCitation>Advances in intelligent data analysis : reasoning about data; second international symposium, IDA-97, London, UK, August 4-6, 1997; proceedings / Xiaohui Liu ... (ed.). - Berlin [u.a.] : Springer, 1997. - S. 347-358. - (Lecture notes in computer science ; 1280). - ISBN 3-540-63346-4</dcterms:bibliographicCitation>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-07-15T07:31:32Z</dc:date>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/24079/1/Huber_240797.pdf"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:abstract xml:lang="eng">Analysis of simulation models has gained considerable interest in the past. However, their complexity still remains a considerable drawback in practical applications. A promising concept is to analyze the data from simulation experiments. Existing approaches are either restricted to simple models or are hard to interpret. We present an efficient algorithm that constructs a fuzzy graph model from simulation data and we show that the resulting system approximates also complex model functions with an adjustable precision. In addition the Fuzzy Graph allows the analyst to directly access easy to interpret if-then-rules. These rules help to understand the original simulation model, which is shown with a real world token bus model.</dcterms:abstract>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-07-15T07:31:32Z</dcterms:available>
    <dc:language>eng</dc:language>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/24079/1/Huber_240797.pdf"/>
    <dc:rights>terms-of-use</dc:rights>
    <dc:contributor>Huber, Klaus-Peter</dc:contributor>
    <dcterms:title>Simulation Data Analysis Using Fuzzy Graphs</dcterms:title>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/24079"/>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
  </rdf:Description>
</rdf:RDF>

Universitätsbibliographie

Nein