All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Generalized dissemblance index as a difference of first moments of fuzzy numbers – A new perspective on the distance of fuzzy numbers

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F24%3A73621789" target="_blank" >RIV/61989592:15210/24:73621789 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.ins.2024.120118" target="_blank" >https://doi.org/10.1016/j.ins.2024.120118</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ins.2024.120118" target="_blank" >10.1016/j.ins.2024.120118</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Generalized dissemblance index as a difference of first moments of fuzzy numbers – A new perspective on the distance of fuzzy numbers

  • Original language description

    This paper investigates the formulation of the dissemblance index as a basis for the calculation of distances of fuzzy numbers and explores its potential linkages with standard and possibilistic moments of fuzzy numbers. Applying the LSC transformation introduced recently by Luukka, Stoklasa and Collan we transform the general formulation of the dissemblance index into its “probabilistic” analogy and show that the result can be interpreted as a difference of COGs of the respective fuzzy numbers (potentially with hedges applied to them). We also show that the difference of possibilistic means is a special case of the general dissemblance index, when w =1. We also propose a generalized version of the possibilistic mean of a fuzzy number and prove its properties. We discuss the implications of this relationship on the practical use of the generalized dissemblance index and investigate its performance in the task of ranking of fuzzy numbers.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    INFORMATION SCIENCES

  • ISSN

    0020-0255

  • e-ISSN

    1872-6291

  • Volume of the periodical

    660

  • Issue of the periodical within the volume

    march 2024

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    14

  • Pages from-to

  • UT code for WoS article

    001164711600001

  • EID of the result in the Scopus database

    2-s2.0-85182601286