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”

Transitions Between Fuzzified Aggregation Operators

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F17%3A73583533" target="_blank" >RIV/61989592:15310/17:73583533 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989592:15810/17:73583533

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Transitions Between Fuzzified Aggregation Operators

  • Original language description

    An important problem in the multiple-criteria decision-making is how to combine multiple evaluations according to the individual criteria into the overall evaluation. Many aggregation methods have been developed for this task. When the evaluations are expressed by fuzzy numbers, fuzzified versions of these methods can be used. There is usually a trade-off between the versatility of the aggregation operator and the number of its parameters that have to be set. Setting correct parameters can pose a problem for the decision-maker in case of a more complex aggregation method. This paper proposes to overcome the problem in the following way - instead of creating a complex model directly, a simpler model, which represents only a rough approximation, is used first. In the next step, the model is refined and the original simple aggregation method is replaced by a more complex one. The parameters for the new aggregation method are derived automatically. Two algorithms are presented in the paper for this task - the first one derives a FNV-fuzzy measure (fuzzy-number-valued fuzzy measure) for the fuzzified Choquet integral, the latter one proposes a fuzzy rule base for the fuzzy expert system.

  • 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

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/GA14-02424S" target="_blank" >GA14-02424S: Methods of operations research for decision support under uncertainty</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Multiple-Valued Logic and Soft Computing

  • ISSN

    1542-3980

  • e-ISSN

  • Volume of the periodical

    29

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    25

  • Pages from-to

    505-529

  • UT code for WoS article

    000415668000008

  • EID of the result in the Scopus database

    2-s2.0-85034114077