A novel generalization of the OWA and IOWA operators based on weighting vectors
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F25%3A73633254" target="_blank" >RIV/61989592:15310/25:73633254 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S0020025525003147" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0020025525003147</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ins.2025.122182" target="_blank" >10.1016/j.ins.2025.122182</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A novel generalization of the OWA and IOWA operators based on weighting vectors
Popis výsledku v původním jazyce
In this article, we present two novel generalizations of the OWA and IOWA operators based on weighting vectors, which could be useful in the field of data aggregation. In our first approach, OWAs and IOWAs are aggregated. In the case of convex sum aggregation, the corresponding ORNESS is also evaluated. In our second approach, given a weighting vector W, we consider an ordering mapping b : [0, 1]n- [0, 1]n that determines which weights and which inputs are related by a product, and an appropriate sum of these products is then considered. In the event of ties in the proposed approach, these are resolved by means of the arithmetic mean, a methodology that is analogous to that employed in the context of IOWA operators. Our approach is illustrated on series of examples including the related figures.
Název v anglickém jazyce
A novel generalization of the OWA and IOWA operators based on weighting vectors
Popis výsledku anglicky
In this article, we present two novel generalizations of the OWA and IOWA operators based on weighting vectors, which could be useful in the field of data aggregation. In our first approach, OWAs and IOWAs are aggregated. In the case of convex sum aggregation, the corresponding ORNESS is also evaluated. In our second approach, given a weighting vector W, we consider an ordering mapping b : [0, 1]n- [0, 1]n that determines which weights and which inputs are related by a product, and an appropriate sum of these products is then considered. In the event of ties in the proposed approach, these are resolved by means of the arithmetic mean, a methodology that is analogous to that employed in the context of IOWA operators. Our approach is illustrated on series of examples including the related figures.
Klasifikace
Druh
J<sub>imp</sub> - 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)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
INFORMATION SCIENCES
ISSN
0020-0255
e-ISSN
1872-6291
Svazek periodika
713
Číslo periodika v rámci svazku
SEP
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
10
Strana od-do
"122182-1"-"122182-10"
Kód UT WoS článku
001471469100001
EID výsledku v databázi Scopus
2-s2.0-105002275757