GnIOWA operators and some weights allocation methods with their properties
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F21%3A73609837" target="_blank" >RIV/61989592:15310/21:73609837 - isvavai.cz</a>
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/10.1002/int.22382" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1002/int.22382</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/int.22382" target="_blank" >10.1002/int.22382</a>
Alternative languages
Result language
angličtina
Original language name
GnIOWA operators and some weights allocation methods with their properties
Original language description
This study proposes some standard and general forms of induced ordered weighted averaging (GnIOWA) operators where the inductive information is ordered weighted averaging (OWA) weight vectors instead of real numbers. It shows the usefulness of such type of generalized induced OWA in decision-making and evaluation and many other applications. We propose three weights allocation methods that are specifically designed for the proposed GnIOWA operators. For each of the proposed weights allocation methods, a numerical example is also attached accordingly. With the use of convex/concave Regular Increasing Monotone quantifiers, we further discuss some mathematical properties of these weights allocation methods.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
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)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
ISSN
0884-8173
e-ISSN
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Volume of the periodical
36
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
20
Pages from-to
2367-2386
UT code for WoS article
000618633300001
EID of the result in the Scopus database
2-s2.0-85100877816