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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA18-06915S" target="_blank" >GA18-06915S: Nové přístupy k agregačním operátorům v analýze a zpracování dat</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

JOURNAL OF INTELLIGENT &amp; FUZZY SYSTEMS

ISSN

1064-1246

e-ISSN

—

Svazek periodika

39

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

8

Strana od-do

325-332

Kód UT WoS článku

000550226900024

EID výsledku v databázi Scopus

2-s2.0-85088868602