Typicality of features in fuzzy relational compositions

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F19%3AA2001XQD" target="_blank" >RIV/61988987:17610/19:A2001XQD - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-21920-8_56" target="_blank" >http://dx.doi.org/10.1007/978-3-030-21920-8_56</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-21920-8_56" target="_blank" >10.1007/978-3-030-21920-8_56</a>

Result language
angličtina
Original language name
Typicality of features in fuzzy relational compositions
Original language description
Fuzzy relations and their compositions have the same crucial importance for the fuzzy mathematics that is provided to mathematics by relations and their composition. The topic, since it attracted many scholars and influenced many areas in fuzzy modeling, has been extended on distinct directions including the recent one on the incorporation of excluding features. This article brings a mathematically similar yet semantically opposite extension, in particular, the concept of typical features. We show the appropriateness of such a new concept and investigate some of its properties. Furthermore, we discuss how the concept of typical features incorporated in fuzzy relational compositions may bring a significant improvement of the results of some applications. This fact is demonstrated on a real example of biological species classification.
Czech name
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Czech description
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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

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Fuzzy Techniques: Theory and Applications. Proceedings of the 2019 Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS-2019 (Lafayette, Louisiana, USA, June 18-21, 2019)
ISBN
978-3-030-21919-2
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
12
Pages from-to
631-642
Publisher name
Springer
Place of publication
Cham
Event location
Lafayette, Lousiana, USA
Event date
Jan 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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