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FDA - Fuzzy Decision Analyzer

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F18%3A00011216" target="_blank" >RIV/47813059:19520/18:00011216 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    FDA - Fuzzy Decision Analyzer

  • Original language description

    There exists wide range of software products to support decision making. Main disadvantage of those software products is that they are commercial and relatively expensive and thus it prevents them to be used by small companies, students or researchers. This paper introduces a new online tool FDA - Fuzzy Decision Analyzer which is completely free and was developed to support users in multicriteria decision making situations with uncertain data. It can be also used by students to help them understand basic principles of multicriteria decision making, because it doesn't behave as a black box but displays results of all intermediate calculations. The proposed software package is demonstrated on an illustrating example of real life decision problem - selecting the best drying machine.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/GA18-01246S" target="_blank" >GA18-01246S: Non-standard optimization and decision-making methods in management processes</a><br>

  • Continuities

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

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

    2018 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE)

  • ISBN

    978-1-5090-6020-7

  • ISSN

  • e-ISSN

    1098-7584

  • Number of pages

    7

  • Pages from-to

    967-973

  • Publisher name

    IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA

  • Place of publication

    Rio de Janeiro, Brazílie

  • Event location

    Rio de Janeiro, Brazílie

  • Event date

    Jul 8, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000451248900017