OU Portal
Log In
Welcome
Applicants
Z6_60GI02O0O8IDC0QEJUJ26TJDI4
Error:
Javascript is disabled in this browser. This page requires Javascript. Modify your browser's settings to allow Javascript to execute. See your browser's documentation for specific instructions.
{}
Close
Publikační činnost
Probíhá načítání, čekejte prosím...
publicationId :
tempRecordId :
actionDispatchIndex :
navigationBranch :
pageMode :
tabSelected :
isRivValid :
Record type:
stať ve sborníku (D)
Home Department:
Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:
Normal forms based fuzzy systems
Citace
Daňková, M. Normal forms based fuzzy systems.
In:
Proc. of the Joint 4th EUSFLAT2005 and 11th LFA2005.
Barcelona: Universitat Politecnica de Catalunya & EUSFLAT, 2005. Universitat Politecnica de Catalunya & EUSFLAT, 2005. s. 633-638. ISBN 84-7663-872-3.
Subtitle
Publication year:
2005
Obor:
Obecná matematika
Number of pages:
6
Page from:
633
Page to:
638
Form of publication:
ISBN code:
84-7663-872-3
ISSN code:
Proceedings title:
Proc. of the Joint 4th EUSFLAT2005 and 11th LFA2005
Proceedings:
Publisher name:
Universitat Politecnica de Catalunya & EUSFLAT
Place of publishing:
Barcelona
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
Joint EUSFLAT - LFA 2005
Místo konání konference:
Barcelona, Španělosko
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
EID:
Key words in English:
Fuzzy approximation; Normal forms; Fuzzy systems
Annotation in original language:
Normal forms have been introduced as approximating relations for fuzzy relations. Moreover, they can be viewed as a formalization of a collection of fuzzy IF-THEN rules. Therefore, investigation of approximating abilities of normal forms together with determination of an appropriate inference engine contributes to building of fuzzy systems.
Annotation in english language:
Normal forms have been introduced as approximating relations for fuzzy relations. Moreover, they can be viewed as a formalization of a collection of fuzzy IF-THEN rules. Therefore, investigation of approximating abilities of normal forms together with determination of an appropriate inference engine contributes to building of fuzzy systems.
References
Reference
R01:
Complementary Content
Deferred Modules
${title}
${badge}
${loading}
Deferred Modules