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Decision support biomedical application based on consistent optimization of preference matrices

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F16%3A50004923" target="_blank" >RIV/62690094:18450/16:50004923 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007/978-3-319-45246-3_28" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-45246-3_28</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-45246-3_28" target="_blank" >10.1007/978-3-319-45246-3_28</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Decision support biomedical application based on consistent optimization of preference matrices

  • Original language description

    In designing a medical application big emphasis must be given on correct understanding of experts' opinions. This article deals with the decision making process based on AHP. Inconsistency measures of preference matrices are studied, and a new method for fi nding the optimal consistent approximation of a given preference matrix is suggested. Algorithms for fi nding a consensus of several experts are discussed. Proposed methods are presented on implementation examples.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

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

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Computational collective intelligence. Part II.

  • ISSN

    0302-9743

  • e-ISSN

  • Volume of the periodical

    9876

  • Issue of the periodical within the volume

    1/2016

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    11

  • Pages from-to

    292-302

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-84989919034