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:
Incorporation of Excluding Features in Fuzzy Relational Compositions Based on Generalized Quantifiers
Citace
Cao, T. H. N. a Štěpnička, M. Incorporation of Excluding Features in Fuzzy Relational Compositions Based on Generalized Quantifiers.
In:
EUSFLAT: Advances in Fuzzy Logic and Technology 2017. Proc. EUSFLAT-2017 (Book series: Advances in Intelligent Systems and Computing) 2017 Warsaw.
Berlin: Springer, 2018. s. 368-379. ISBN 978-3-319-66829-1.
Subtitle
Publication year:
2018
Obor:
Obecná matematika
Number of pages:
12
Page from:
368
Page to:
379
Form of publication:
Tištená verze
ISBN code:
978-3-319-66829-1
ISSN code:
2194-5357
Proceedings title:
Advances in Fuzzy Logic and Technology 2017. Proc. EUSFLAT-2017 (Book series: Advances in Intelligent Systems and Computing)
Proceedings:
Mezinárodní
Publisher name:
Springer
Place of publishing:
Berlin
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
EUSFLAT
Místo konání konference:
Warsaw
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
000432315700033
EID:
2-s2.0-85029450341
Key words in English:
Fuzzy relational compositions, Fuzzy relational products, Bandler-Kohout products, Fuzzy measures, Generalized (fuzzy) quantifiers, Medical diagnosis, Classification
Annotation in original language:
The concepts of incorporation of excluding features in fuzzy relational compositions and the compositions based on generalized quantifiers are useful tools for improving relevance and precision of the suspicion provided by the standard fuzzy relational compositions initial studied by Willis Bandler and Ladislav Kohout. They are independently extended from the standard compositions. However, it may become a very effective tool if they are used together. Taking this natural motivation leads us to introduce the concept of incorporation of excluding features in fuzzy relational compositions based on generalized quantifiers. Most of valid properties preserved for the two mentioned approaches will be proved for the new concept as well. Furthermore, an illustrative example will be presented for showing the usefulness of the approach.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17610/18:A1901MY2
Complementary Content
Deferred Modules
${title}
${badge}
${loading}
Deferred Modules