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Linguistic approximation of values close to the gain/loss threshold

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F17%3A73581327" target="_blank" >RIV/61989592:15210/17:73581327 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Linguistic approximation of values close to the gain/loss threshold

  • Original language description

    Linguistic approximation (LA) is a natural last step of linguistic fuzzy modelling, providing linguistic labels (with their meaning known to the decision makers and understood well by them). Linguistic approximation techniques are based on approximation and hence the nature of the approximated output of mathematical model can be altered a bit by the application of these methods. LA can be considered beneficial in linguistic fuzzy modelling, as long as the interpretability and understandability of the provided linguistic outputs outweighs the possible loss/distortion of information. In many cases the distortion of information might be small and as such completely acceptable. Recently, however, Stoklasa and Talášek (2015) pointed out that when specific thresholds are of importance in the decision-making situation (e.g. the border between gains and losses), LA can distort the outcome of the decision-making situation by providing a loss label for a gain and vice-versa. In this paper, we investigate the phenomenon under different linguistic scales used for the approximation and provide a thorough discussion of this phenomenon in the context of linguistic approximation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    35th International Conference Mathematical Methods in Economics MME 2017 Conference Proceedings

  • ISBN

    978-80-7435-678-0

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    6

  • Pages from-to

    726-731

  • Publisher name

    Gaudeamus

  • Place of publication

    Hradec Králové

  • Event location

    Hradec Králové

  • Event date

    Sep 13, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article