Multiple attribute decision making based on Pythagorean fuzzy Aczel-Alsina average aggregation operators

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F23%3A73617149" target="_blank" >RIV/61989592:15310/23:73617149 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s12652-022-04360-4?utm_source=getftr&utm_medium=getftr&utm_campaign=getftr_pilot" target="_blank" >https://link.springer.com/article/10.1007/s12652-022-04360-4?utm_source=getftr&utm_medium=getftr&utm_campaign=getftr_pilot</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s12652-022-04360-4" target="_blank" >10.1007/s12652-022-04360-4</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Multiple attribute decision making based on Pythagorean fuzzy Aczel-Alsina average aggregation operators

Popis výsledku v původním jazyce

A useful expansion of the intuitionistic fuzzy set (IFS) for dealing with ambiguities in information is the Pythagorean fuzzy set (PFS), which is one of the most frequently used fuzzy sets in data science. Due to these circumstances, the Aczel-Alsina operations are used in this study to formulate several Pythagorean fuzzy (PF) Aczel-Alsina aggregation operators, which include the PF Aczel-Alsina weighted average (PFAAWA) operator, PF Aczel-Alsina order weighted average (PFAAOWA) operator, and PF Aczel-Alsina hybrid average (PFAAHA) operator. The distinguishing characteristics of these potential operators are studied in detail. The primary advantage of using an advanced operator is that it provides decision-makers with a more comprehensive understanding of the situation. If we compare the results of this study to those of prior strategies, we can see that the approach proposed in this study is more thorough, more precise, and more concrete. As a result, this technique makes a significant contribution to the solution of real-world problems. Eventually, the suggested operator is put into practise in order to overcome the issues related to multi-attribute decision-making under the PF data environment. A numerical example has been used to show that the suggested method is valid, useful, and effective.

Název v anglickém jazyce

Multiple attribute decision making based on Pythagorean fuzzy Aczel-Alsina average aggregation operators

Popis výsledku anglicky

A useful expansion of the intuitionistic fuzzy set (IFS) for dealing with ambiguities in information is the Pythagorean fuzzy set (PFS), which is one of the most frequently used fuzzy sets in data science. Due to these circumstances, the Aczel-Alsina operations are used in this study to formulate several Pythagorean fuzzy (PF) Aczel-Alsina aggregation operators, which include the PF Aczel-Alsina weighted average (PFAAWA) operator, PF Aczel-Alsina order weighted average (PFAAOWA) operator, and PF Aczel-Alsina hybrid average (PFAAHA) operator. The distinguishing characteristics of these potential operators are studied in detail. The primary advantage of using an advanced operator is that it provides decision-makers with a more comprehensive understanding of the situation. If we compare the results of this study to those of prior strategies, we can see that the approach proposed in this study is more thorough, more precise, and more concrete. As a result, this technique makes a significant contribution to the solution of real-world problems. Eventually, the suggested operator is put into practise in order to overcome the issues related to multi-attribute decision-making under the PF data environment. A numerical example has been used to show that the suggested method is valid, useful, and effective.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Journal of Ambient Intelligence and Humanized Computing

ISSN

1868-5137

e-ISSN

1868-5145

Svazek periodika

14

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

15

Strana od-do

10931-10945

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85135832412