Some preference involved aggregation models for basic uncertain information using uncertainty transformation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F20%3A73603865" target="_blank" >RIV/61989592:15310/20:73603865 - isvavai.cz</a>
Result on the web
<a href="https://obd.upol.cz/id_publ/333183751" target="_blank" >https://obd.upol.cz/id_publ/333183751</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/JIFS-191106" target="_blank" >10.3233/JIFS-191106</a>

Result language
angličtina
Original language name
Some preference involved aggregation models for basic uncertain information using uncertainty transformation
Original language description
In decision making, very often the data collected are with different extents of uncertainty. The recently intro-duced concept, Basic Uncertain Information (BUI), serves as one ideal information representation to well model involved uncertainties with different extents. This study discusses some methods of BUI aggregation by proposing some uncertainty transformations for them. Based on some previously obtained results, we at first define IOWA operator with poset valued input vector and inducing vector. The work then defines the concept of uncertain system, on which we can further introduce the multi-layer uncertainty transformation for BUI. Subsequently, we formally introduce MUT IOWA aggregation procedure, which has good potential to more and wider application areas. A numerical example is also offered along with some simple usage of it in decision making.
Czech name
—
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/GA18-06915S" target="_blank" >GA18-06915S: New approaches to aggregation operators in analysis and processing of data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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