Max-prod eigenvectors and their applications in decision making

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F14%3A50002650" target="_blank" >RIV/62690094:18450/14:50002650 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Max-prod eigenvectors and their applications in decision making
Original language description
The max-prod eigenvectors play very important role in the AHP approach. The number of independent eigenvectors can be considered as the degree of the preference matrix consistency. If the number is greater than one, then there exist more than one consistent approximation of the preference matrix. For the consistent approximation determined by the found independent eigenvectors, their distance from the original preference matrix can be specified. The distance function then can be used to find an optimalconsistent approximation. The method is illustrated by numerical examples.
Czech name
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Czech description
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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)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Mathematical methods in economics (MME 2014) : 32nd international conference
ISBN
978-80-244-4209-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1045-1050
Publisher name
Univerzita Palackého
Place of publication
Olomouc
Event location
Olomouc
Event date
Sep 10, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000356417900179

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