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A Novel Approach to Weighted Fuzzy Rules for Positive Samples

The result's identifiers

  • 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>

Alternative languages

  • 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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • 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)

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 14th International Joint Conference on Computational Intelligence

  • ISBN

    978-989-758-611-8

  • ISSN

  • e-ISSN

  • 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