Two novel methodologies for considering aggregation functions by implicit equations and minimization problems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F18%3AA1901UYZ" target="_blank" >RIV/61988987:17610/18:A1901UYZ - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.ejor.2018.04.023" target="_blank" >http://dx.doi.org/10.1016/j.ejor.2018.04.023</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ejor.2018.04.023" target="_blank" >10.1016/j.ejor.2018.04.023</a>

Result language
angličtina
Original language name
Two novel methodologies for considering aggregation functions by implicit equations and minimization problems
Original language description
In this work, we consider the problem of defining aggregation functions by means of two distinct methodologies. In the first one, we obtain an aggregation function in an implicit way, from a function which fulfills appropriate conditions. The second methodology, related to the idea of penalty function, is based on the minimization of a distance or error and can be seen as a generalization of the idea of correlation in statistics. We analyze the aggregation functions obtained with both methodologies and we present an illustrative decision-making example to show their different behaviors.
Czech name
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Czech description
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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

Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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