Composition Models of Fuzzy Relations Considering Importance Levels of Features

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F22%3AN2302G9D" target="_blank" >RIV/61988987:17610/22:N2302G9D - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61988987:17610/22:A2302G9D

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9953776" target="_blank" >https://ieeexplore.ieee.org/document/9953776</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/KSE56063.2022.9953776" target="_blank" >10.1109/KSE56063.2022.9953776</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Composition Models of Fuzzy Relations Considering Importance Levels of Features

Popis výsledku v původním jazyce

Several fuzzy concepts are involved in relational databases such as the degree of fulfilment of a graded property, the level of importance (or of possibility) of a component in a query, grouping features, or the concept of fuzzy quantifiers. We have recently approached the concepts of excluding features and unavoidable features to construct the extensions of fuzzy relational compositions. The extended compositions include the employment of fuzzy quantifiers as well. In this work, we approach the concept of importance levels of considered features in a particular sense that is intuitively suitable to the classification tasks. Then we propose a direction of incorporating this concept into the existing fuzzy relational compositions. We provide various useful properties related to the new models of the compositions. Furthermore, a simple example of the classification of animals in biology is addressed for the behaviour illustration of the proposed models. Finally, we examine the applicability of the new models to the practical application of the Dragonfly classification, which has been considered previously.

Název v anglickém jazyce

Composition Models of Fuzzy Relations Considering Importance Levels of Features

Popis výsledku anglicky

Several fuzzy concepts are involved in relational databases such as the degree of fulfilment of a graded property, the level of importance (or of possibility) of a component in a query, grouping features, or the concept of fuzzy quantifiers. We have recently approached the concepts of excluding features and unavoidable features to construct the extensions of fuzzy relational compositions. The extended compositions include the employment of fuzzy quantifiers as well. In this work, we approach the concept of importance levels of considered features in a particular sense that is intuitively suitable to the classification tasks. Then we propose a direction of incorporating this concept into the existing fuzzy relational compositions. We provide various useful properties related to the new models of the compositions. Furthermore, a simple example of the classification of animals in biology is addressed for the behaviour illustration of the proposed models. Finally, we examine the applicability of the new models to the practical application of the Dragonfly classification, which has been considered previously.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10102 - Applied mathematics

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

The 2022 14th International Conference on Knowledge and Systems Engineering (KSE)

ISBN

978-1-6654-5281-6

ISSN

2164-2508

e-ISSN

2694-4804

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

IEEE

Místo vydání

Nha Trang

Místo konání akce

Nha Trang

Datum konání akce

1. 1. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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