A Novel Approach to Weighted Fuzzy Rules for Positive Samples

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F22%3AN2302I04" target="_blank" >RIV/61988987:17610/22:N2302I04 - isvavai.cz</a>
Result on the web
<a href="https://www.scitepress.org/PublicationsDetail.aspx?ID=Av8Osg9iO5w=&t=1" target="_blank" >https://www.scitepress.org/PublicationsDetail.aspx?ID=Av8Osg9iO5w=&t=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0011548800003332" target="_blank" >10.5220/0011548800003332</a>

Result language
angličtina
Original language name
A Novel Approach to Weighted Fuzzy Rules for Positive Samples
Original language description
In this contribution, we propose a novel approach to automated fuzzy rule base generation based on underlying observational data. The core of this method lies in adding information to a particular fuzzy rule in the form of attached weight given as a value extracted from a relational data model. In particular, we blend two approaches to receive particular models that overcome their specific drawbacks.
Czech name
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Czech description
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Project
<a href="/en/project/GA20-07851S" target="_blank" >GA20-07851S: Fuzzy relational structures in approximate reasoning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 14th International Joint Conference on Computational Intelligence
ISBN
978-989-758-611-8
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
209-216
Publisher name
SCITEPRESS - Science and Technology Publications
Place of publication
Neuveden
Event location
Valletta
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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