Mining multi-class industrial data with evolutionary fuzzy rules
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088856" target="_blank" >RIV/61989100:27240/13:86088856 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/13:86088856
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06617453" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06617453</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CYBConf.2013.6617453" target="_blank" >10.1109/CYBConf.2013.6617453</a>
Alternative languages
Result language
angličtina
Original language name
Mining multi-class industrial data with evolutionary fuzzy rules
Original language description
Methods based on fuzzy sets and fuzzy logic have proved to be efficient data classifiers and value estimators. This study presents an application of evolutionary evolved fuzzy rules based on the concept of extended Boolean queries to a multiclass data mining problem. Fuzzy rules are used as symbolic classifiers machine-learned from the data and used to label data samples and predict the value of an output variable. The output variable can be both a label (category) and a continuous value. This study presents an application of evolutionary fuzzy rules to the prediction of multi-class quality attributes in an industrial data set and compares the prediction obtained by fuzzy rules to the prediction achieved by support vector machines.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2013 IEEE International Conference on Cybernetics, CYBCONF 2013
ISBN
978-1-4673-6469-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
191-196
Publisher name
IEEE
Place of publication
Danvers
Event location
Lausanne
Event date
Jun 13, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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