Incorporation of Excluding Features in Fuzzy Relational Compositions Based on Generalized Quantifiers

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Incorporation of Excluding Features in Fuzzy Relational Compositions Based on Generalized Quantifiers

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Incorporation of Excluding Features in Fuzzy Relational Compositions Based on Generalized Quantifiers

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

—

Počet stran výsledku

12

Strana od-do

368-379

Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Warsaw

Datum konání akce

1. 1. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000432315700033