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
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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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
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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
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EID of the result in the Scopus database
2-s2.0-84989919034