Incorporation of Excluding Features in Fuzzy Relational Compositions Based on Generalized Quantifiers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F18%3AA1901MY2" target="_blank" >RIV/61988987:17610/18:A1901MY2 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-66830-7_33" target="_blank" >http://dx.doi.org/10.1007/978-3-319-66830-7_33</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-66830-7_33" target="_blank" >10.1007/978-3-319-66830-7_33</a>
Alternative languages
Result language
angličtina
Original language name
Incorporation of Excluding Features in Fuzzy Relational Compositions Based on Generalized Quantifiers
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Fuzzy Logic and Technology 2017. Proc. EUSFLAT-2017 (Book series: Advances in Intelligent Systems and Computing)
ISBN
978-3-319-66829-1
ISSN
2194-5357
e-ISSN
—
Number of pages
12
Pages from-to
368-379
Publisher name
Springer
Place of publication
Berlin
Event location
Warsaw
Event date
Jan 1, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000432315700033