Trust Risk Test-Based Group Consensus With Probabilistic Linguistic Preference Relations Under Social Networks

IEEE Transactions on Fuzzy Systems, Journal Year: 2024, Volume and Issue: 32(6), P. 3508 - 3520

Published: March 13, 2024

Social networks are gaining importance as an important application landscape for machine learning techniques. Currently, it is a prevalent thinking to introduce social into group decision-making (GMD) research, despite exhibiting promising performance, there remain significant challenges, including 1) trust risk often overlooked, and 2) opinions excessively relied upon. In this regard, paper introduces the test consensus (SN-TRT-GC) by using probabilistic linguistic preference relations (PLPRs) under term sets (PLTSs). The proposed method ensures that experts competence matches discourse much possible virtue of value. Moreover, opinion evolution relies on dual attributes similarity trust, which promotes exchange among greatly accelerates reaching process (CRP). Empirical investigations satisfaction surveys demonstrate validity superiority presented SN-TRT-GC technique.

Language: Английский

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Fusion decision strategies for multiple criterion preferences based on three-way decision

Information Fusion, Journal Year: 2024, Volume and Issue: 108, P. 102356 - 102356

Published: March 16, 2024

Language: Английский

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A group consensus method based on social network and three-way decision under multi-scale information systems

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 162, P. 111824 - 111824

Published: June 6, 2024

Language: Английский

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E3WD: A three-way decision model based on ensemble learning

Information Sciences, Journal Year: 2024, Volume and Issue: 667, P. 120487 - 120487

Published: March 19, 2024

Language: Английский

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A three-way large-scale group decision-making model based on rewards-and-punishments mechanism for triple-path consensus reaching process in high-end equipment project selection

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 239, P. 122352 - 122352

Published: Nov. 2, 2023

Language: Английский

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Grid neighbourhood based three way clustering (3WC)

Information Sciences, Journal Year: 2024, Volume and Issue: 659, P. 120082 - 120082

Published: Jan. 5, 2024

Language: Английский

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Breast cancer pre-diagnosis based on incomplete picture fuzzy multi-granularity three-way decisions

International Journal of Intelligent Computing and Cybernetics, Journal Year: 2024, Volume and Issue: 17(3), P. 549 - 576

Published: June 1, 2024

Purpose Three-way decision (3WD) and probabilistic rough sets (PRSs) are theoretical tools capable of simulating humans' multi-level multi-perspective thinking modes in the field decision-making. They proposed to assist decision-makers better managing incomplete or imprecise information under conditions uncertainty fuzziness. However, it is easy cause losses personal thresholds cannot be taken into account. To solve this problem, paper combines picture fuzzy (PF) multi-granularity (MG) with 3WD establishes notion PF MG 3WD. Design/methodology/approach An effective model based on designed paper. First, form systems (IISs) established reasonably record uncertain information. On basis, conditional probability by using similarity relations, concept adjustable PRSs fuse data. Then, a comprehensive multi-attribute group decision-making (MAGDM) scheme formed VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. Finally, an actual breast cancer data set used reveal validity constructed Findings The experimental results confirm effectiveness predicting cancer. Compared existing models, has robustness generalization performance. This mainly due paper, which effectively reduces influence unreasonable outliers threshold settings. Originality/value employs VIKOR method for optimal granularity selections, takes account both utility maximization individual regret minimization, while incorporating decision-makers' subjective preferences as well. ensures that experiment maintains higher exclusion stability reliability, enhancing results.

Language: Английский

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A novel three-way distance-based fuzzy large margin distribution machine for imbalance classification

Complex & Intelligent Systems, Journal Year: 2025, Volume and Issue: 11(3)

Published: Feb. 19, 2025

Abstract Class imbalance is a prevalent issue in practical applications, which poses significant challenges for classifiers. The large margin distribution machine (LDM) introduces the of samples to replace traditional minimum margin, resulting extensively enhanced classification performance. However, hyperplane LDM tends be skewed toward minority class, due optimization property means. Moreover, absence non-deterministic options and measurement confidence level further restricts capability manage uncertainty imbalanced tasks. To solve these problems, we propose novel three-way distance-based fuzzy (3W-DBFLDM). Specifically, introduce factor mitigate impact sample size on results by increasing distance weights class. Additionally, decision model introduced deal with uncertainty, model’s robustness utilizing membership degree that reflects importance each input point. Comparative experiments conducted UCI datasets demonstrate 3W-DBFLDM surpasses other models accuracy, stability, robustness. Furthermore, cost comparison experiment validate reduces overall cost.

Language: Английский

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Interval Three-way Decision Model Based on Data Envelopment Analysis and Prospect Theory

International Journal of Approximate Reasoning, Journal Year: 2025, Volume and Issue: unknown, P. 109424 - 109424

Published: March 1, 2025

Language: Английский

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Decision Preference Networks in Ensemble Classification learning: Focusing on decision preferences and influences

Information Processing & Management, Journal Year: 2025, Volume and Issue: 62(4), P. 104133 - 104133

Published: March 23, 2025

Language: Английский

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