Intuitionistic fuzzy type basic uncertain information

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F23%3AA25038DT" target="_blank" >RIV/61988987:17610/23:A25038DT - isvavai.cz</a>

Výsledek na webu

<a href="https://ijfs.usb.ac.ir/article_7840.html" target="_blank" >https://ijfs.usb.ac.ir/article_7840.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.22111/ijfs.2023.7840" target="_blank" >10.22111/ijfs.2023.7840</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Intuitionistic fuzzy type basic uncertain information

Popis výsledku v původním jazyce

Recently, a new paradigm for uncertain information has been proposed that can effectively handle various types of uncertainty in decision-making problems. This approach utilizes a certainty degree, which is represented by a real number indicating the level of certainty associated with input values. However, just like intuitionistic fuzzy information can handle more problems that cannot be well modeled by fuzzy information, the certainty degree in basic uncertain information can also be intuitionistic fuzzy granule, which allows it to handle more uncertainty involved decision making situations. In this paper, we introduce the concept of intuitionistic fuzzy type basic uncertain information and explain its parameters. We also define a weighted arithmetic mean for aggregating this type of information and discuss different approaches for allocating induced weights based on trust preferred preference from four perspectives: (i) preference for degrees; and (iv) preference for intuitionistic fuzzy certainties. Additionally, we explore trichotomic rules-based decision making using intuitionistic fuzzy type basic uncertain information. Finally, we present an objective-subjective evaluation numerical example utilizing these methods.

Název v anglickém jazyce

Intuitionistic fuzzy type basic uncertain information

Popis výsledku anglicky

Recently, a new paradigm for uncertain information has been proposed that can effectively handle various types of uncertainty in decision-making problems. This approach utilizes a certainty degree, which is represented by a real number indicating the level of certainty associated with input values. However, just like intuitionistic fuzzy information can handle more problems that cannot be well modeled by fuzzy information, the certainty degree in basic uncertain information can also be intuitionistic fuzzy granule, which allows it to handle more uncertainty involved decision making situations. In this paper, we introduce the concept of intuitionistic fuzzy type basic uncertain information and explain its parameters. We also define a weighted arithmetic mean for aggregating this type of information and discuss different approaches for allocating induced weights based on trust preferred preference from four perspectives: (i) preference for degrees; and (iv) preference for intuitionistic fuzzy certainties. Additionally, we explore trichotomic rules-based decision making using intuitionistic fuzzy type basic uncertain information. Finally, we present an objective-subjective evaluation numerical example utilizing these methods.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10100 - Mathematics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

IRANIAN JOURNAL OF FUZZY SYSTEMS

ISSN

1735-0654

e-ISSN

2676-4334

Svazek periodika

—

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

IR - Íránská islámská republika

Počet stran výsledku

9

Strana od-do

189-197

Kód UT WoS článku

001128990100007

EID výsledku v databázi Scopus

2-s2.0-85192180825