Multi-criteria sequential three-state three-way decision consensus model based on set pair analysis theory
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Multi-criteria sequential three-state three-way decision consensus model based on set pair analysis theory
Original language description
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.
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
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Information sciences
ISSN
0020-0255
e-ISSN
1872-6291
Volume of the periodical
661
Issue of the periodical within the volume
March
Country of publishing house
US - UNITED STATES
Number of pages
24
Pages from-to
"Article number: 120199"
UT code for WoS article
001178020600001
EID of the result in the Scopus database
2-s2.0-85183578970