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Self-Confidence Rationality Identification of Group Decision Making Based on Consensus Analysis

Bibliographic Data

ID22108879
AuthorsFan-Yong Meng (0000-0001-9636-3479, Central South University), You Lv (0000-0001-5139-276X, Central South University), Zong-Run Wang (Central South University)
Year2024
Volume11
Issue1
Pages919-932
Publication date2024-02-01
Open AccessYes
TypeARTICLE
VenueIEEE Transactions on Computational Social Systems (JOURNAL)
Journal identifiersISSN: 2329-924X • E-ISSN: 2373-7476
PublisherInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/tcss.2022.3223795
OpenAlexW4312928724
LanguageEN
Citations received2
References cited67

This article focuses on the consensus-reaching process (CRP) for group decision-making with self-confidence (SC) and considers personalized individual semantics (PIS). To identify the rationality of SC, this article first uses PIS to transform linguistic variables into numerical variables, by which initial SC-based adjustment intervals are derived. Further, maximum and minimum programming models at three layers are conducted to derive adjustment intervals in view of consensus analysis, by which SC-based revision adjustment intervals are obtained. Moreover, the rationality of SC-based revision adjustment intervals is judged by consensus models. When irrationality is identified, the model for minimizing consensus adjustment under the given consensus level is built. In this process, if corresponding decision-makers show non-cooperative behaviors, different penalty rules are recommended in various cases. Finally, the proposed method is applied to select ideal medical care and nursing institutions, and sensitivity and comparative analyses are performed

Confidence interval · Irrationality · Rationality · Statistics · Bayesian Modeling and Causal Inference · Cognitive Science and Mapping · Computer Science · Law · Mathematics · Multi-Criteria Decision Making · Psychology · Social Psychology · Artificial Intelligence

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Citations per year0.67
Citation span2023 - 2026 (4)
Highly citedNo

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