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Linguistic approximation under different distances/similarity measures for fuzzy numbers

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F16%3A33159922" target="_blank" >RIV/61989592:15310/16:33159922 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Linguistic approximation under different distances/similarity measures for fuzzy numbers

  • Original language description

    The paper explores the performance of two selected distance measures of fuzzy numbers (the Bhattacharyya distance and the dissemblance index) and two different fuzzy similarity measures in the context of linguistic approximation. Symmetrical triangular fuzzy numbers are considered as the approximated entities. A numerical experiment is employed to map the behavior of the four distance/similarity measures under uniform linguistic scales used for the linguistic approximation. We identify a clear difference of the performance of the selected methods when the approximation of low-uncertain fuzzy numbers are approximated. One of the selected fuzzy similarity measures tends to emphasize extreme evaluations and disregard intermediate linguistic values. For highly uncertain fuzzy numbers the methods seem to be close to equivalent in terms of the linguistic approximation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • 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 NSAIS'16 Workshop on Adaptive and Intelligent Systems 2016

  • ISBN

    978-952-265-986-6

  • ISSN

    2243-3376

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    49-52

  • Publisher name

    Lappeenranta University of Technology

  • Place of publication

    Lappeenranta

  • Event location

    Lappeenranta, Finsko

  • Event date

    Aug 16, 2016

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article