Fuzzy Quantifiers and Compositions of Partial Fuzzy Relations Employing Dragonfly Algebras

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F19%3AA2001XQB" target="_blank" >RIV/61988987:17610/19:A2001XQB - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/FUZZ-IEEE.2019.8858832" target="_blank" >http://dx.doi.org/10.1109/FUZZ-IEEE.2019.8858832</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/FUZZ-IEEE.2019.8858832" target="_blank" >10.1109/FUZZ-IEEE.2019.8858832</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fuzzy Quantifiers and Compositions of Partial Fuzzy Relations Employing Dragonfly Algebras

Popis výsledku v původním jazyce

This article gathers several topics together, namely fuzzy relational compositions, partial fuzzy logics, generalized quantifiers and, finally, classification as a problem serving for the demonstrative purposes. Fuzzy relational compositions as one of the most fundamental areas from the fuzzy set theory are being extended and investigated from several perspectives in the last decades. One of such perspective was to employ generalized quantifiers replacing the original existential and universal quantifiers in the construction of the compositions. Recently, the compositions have been also re-designed to deal with undefined values and thus, the topic has been joined to the fuzzy partial logics. One of such approaches proposed a specific algebra for handling missing values. This article puts all the mentioned approaches together in order to design fuzzy relational compositions dealing with missing values with help of appropriate partial operations. After a brief investigation of properties of the proposed compositions, we provide readers with an example demonstrating that the construction allows minimizing the negative impact of the missing values.

Název v anglickém jazyce

Fuzzy Quantifiers and Compositions of Partial Fuzzy Relations Employing Dragonfly Algebras

Popis výsledku anglicky

This article gathers several topics together, namely fuzzy relational compositions, partial fuzzy logics, generalized quantifiers and, finally, classification as a problem serving for the demonstrative purposes. Fuzzy relational compositions as one of the most fundamental areas from the fuzzy set theory are being extended and investigated from several perspectives in the last decades. One of such perspective was to employ generalized quantifiers replacing the original existential and universal quantifiers in the construction of the compositions. Recently, the compositions have been also re-designed to deal with undefined values and thus, the topic has been joined to the fuzzy partial logics. One of such approaches proposed a specific algebra for handling missing values. This article puts all the mentioned approaches together in order to design fuzzy relational compositions dealing with missing values with help of appropriate partial operations. After a brief investigation of properties of the proposed compositions, we provide readers with an example demonstrating that the construction allows minimizing the negative impact of the missing values.

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

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

FUZZ-IEEE

ISBN

978-153861728-1

ISSN

1098-7584

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

New Orleans

Datum konání akce

1. 1. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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