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Models used in fuzzy linear regression

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F18%3A39913525" target="_blank" >RIV/00216275:25530/18:39913525 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Models used in fuzzy linear regression

  • Original language description

    The paper summarizes fuzzy linear models that were introduced in fuzzy regression analysis. The exhaustive review is extended with new models. This contribution is intended as a guide for implementing known fuzzy regression methods. However, it can be used as an inspiration for researchers developing new approaches. © 2018 Slovak University of Technology in Bratislava. All Rights Reserved.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    17th Conference on Applied Mathematics APLIMAT 2018 : proceedings

  • ISBN

    978-80-227-4765-3

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    10

  • Pages from-to

    955-964

  • Publisher name

    Slovenská technická univezita v Bratislave

  • Place of publication

    Bratislava

  • Event location

    Bratislava

  • Event date

    Feb 6, 2018

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article