Fuzzy linear regression analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86089026" target="_blank" >RIV/61989100:27240/13:86089026 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.3182/20130925-3-CZ-3023.00079" target="_blank" >http://dx.doi.org/10.3182/20130925-3-CZ-3023.00079</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3182/20130925-3-CZ-3023.00079" target="_blank" >10.3182/20130925-3-CZ-3023.00079</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy linear regression analysis
Original language description
The theoretical background for abstract formalization of vague phenomenon of the complex systems is fuzzy set theory. In the paper vague data as specialized fuzzy sets - fuzzy numbers are defined and it is described a fuzzy linear regression model as a fuzzy function with fuzzy numbers as vague parameters. Interval and fuzzy regression technologies are discussed, the linear fuzzy regression model is proposed. To identify fuzzy regression coeffcients of model genetic algorithm is applied. The numerical example is presented and the possibility area of vague model is illustrated.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
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
IFAC Proceedings Volumes (IFAC-PapersOnline). Volume 12, Issue PART 1
ISBN
978-3-902823-53-3
ISSN
1474-6670
e-ISSN
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Number of pages
5
Pages from-to
245-249
Publisher name
IFAC
Place of publication
London
Event location
Velké Karlovice
Event date
Sep 25, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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