Multi-criteria sequential three-state three-way decision consensus model based on set pair analysis theory

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50021294" target="_blank" >RIV/62690094:18450/24:50021294 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0020025524001129?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0020025524001129?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ins.2024.120199" target="_blank" >10.1016/j.ins.2024.120199</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Multi-criteria sequential three-state three-way decision consensus model based on set pair analysis theory

Popis výsledku v původním jazyce

The three-way decision (3WD) theory involves two states of objects corresponding to consensus and conflict states in multi-criteria group decision-making (MCGDM) problems. However, the set pair analysis (SPA) theory provides a three-state perspective by incorporating the uncertainty state. Inspired of this, we propose a multi-criteria sequential three-state three-way decision (TS3WD) consensus model to reach the group consensus. Firstly, we propose the concept of consensus set pair probability space. Drawing upon SPA theory, the set pair consensus rules are designed to obtain the consensus set pair probability space which is categorized into three states including consensus, uncertainty and conflict. Secondly, the TS3WD model is presented by extending two states of classic 3WD model into three states. Related to the consensus set pair probability space and extended loss functions, the three-state decision rules and simplified decision rules are derived. Furthermore, the consensus feedback mechanism and rules based on the sequential TS3WD consensus model are proposed to adjust uncertainty and conflict opinions, in which the consensus adjustment model and coefficient adjustment strategy play essential roles. Finally, a connection number (CN) is applied to rank all alternatives and some experimental analyses are conducted to demonstrate the effectiveness and feasibility of the proposed model. © 2024 Elsevier Inc.

Název v anglickém jazyce

Multi-criteria sequential three-state three-way decision consensus model based on set pair analysis theory

Popis výsledku anglicky

The three-way decision (3WD) theory involves two states of objects corresponding to consensus and conflict states in multi-criteria group decision-making (MCGDM) problems. However, the set pair analysis (SPA) theory provides a three-state perspective by incorporating the uncertainty state. Inspired of this, we propose a multi-criteria sequential three-state three-way decision (TS3WD) consensus model to reach the group consensus. Firstly, we propose the concept of consensus set pair probability space. Drawing upon SPA theory, the set pair consensus rules are designed to obtain the consensus set pair probability space which is categorized into three states including consensus, uncertainty and conflict. Secondly, the TS3WD model is presented by extending two states of classic 3WD model into three states. Related to the consensus set pair probability space and extended loss functions, the three-state decision rules and simplified decision rules are derived. Furthermore, the consensus feedback mechanism and rules based on the sequential TS3WD consensus model are proposed to adjust uncertainty and conflict opinions, in which the consensus adjustment model and coefficient adjustment strategy play essential roles. Finally, a connection number (CN) is applied to rank all alternatives and some experimental analyses are conducted to demonstrate the effectiveness and feasibility of the proposed model. © 2024 Elsevier Inc.

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

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Information sciences

ISSN

0020-0255

e-ISSN

1872-6291

Svazek periodika

661

Číslo periodika v rámci svazku

March

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

24

Strana od-do

"Article number: 120199"

Kód UT WoS článku

001178020600001

EID výsledku v databázi Scopus

2-s2.0-85183578970