Publicacións en colaboración con investigadores/as de Hohai University (48)

2025

  1. Addressing the influence of limited tolerance and compromise behaviors on the social trust network consensus-reaching process

    Information Sciences, Vol. 686

2024

  1. Graph Model for Conflict Resolution With Internal Consensus Reaching and External Game

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 54, Núm. 10, pp. 6265-6279

2023

  1. A Consensus Model Based on Social Network Analysis in Large-Scale Group Decision Making: Mining and Managing Trust Risk Behaviors

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 53, Núm. 10, pp. 6204-6219

  2. A Local Adjustment Method to Improve Multiplicative Consistency of Fuzzy Reciprocal Preference Relations

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 53, Núm. 9, pp. 5702-5714

  3. A Minimum Cost Consensus-Based Failure Mode and Effect Analysis Framework Considering Experts' Limited Compromise and Tolerance Behaviors

    IEEE Transactions on Cybernetics, Vol. 53, Núm. 10, pp. 6612-6625

  4. A Trust Risk Dynamic Management Mechanism Based on Third-Party Monitoring for the Conflict-Eliminating Process of Social Network Group Decision Making

    IEEE Transactions on Cybernetics, Vol. 53, Núm. 6, pp. 3399-3413

  5. A consensus model for group decision-making with personalized individual self-confidence and trust semantics: A perspective on dynamic social network interactions

    Information Sciences, Vol. 627, pp. 147-168

  6. Additive consistency exploration of linguistic preference relations with self-confidence

    Artificial Intelligence Review, Vol. 56, Núm. 1, pp. 257-285

  7. An improved multiplicative acceptability consistency-driven group decision making with triangular fuzzy reciprocal preference relations

    Computers and Industrial Engineering, Vol. 176

  8. Consensus models with aggregation operators for minimum quadratic cost in group decision making

    Applied Intelligence, Vol. 53, Núm. 2, pp. 1370-1390

  9. Corrigendum to “An improved multiplicative acceptability consistency-driven group decision making with triangular fuzzy reciprocal preference relations” [Comput. Ind. Eng. 176 (2023) 108981] (Computers & Industrial Engineering (2023) 176, (S0360835223000050), (10.1016/j.cie.2023.108981))

    Computers and Industrial Engineering

  10. Corrigendum to “Some models to manage additive consistency and derive priority weights from hesitant fuzzy preference relations” [Inform. Sci. 586 (2022) 450–467, (S0020025521012238), (10.1016/j.ins.2021.12.002)]

    Information Sciences

  11. Credibility-Supervised Dynamic Clustering and Consensus Model Involving Minority Opinions Handling in Social-Network Large-Scale Decision Making

    IEEE Transactions on Fuzzy Systems, Vol. 31, Núm. 10, pp. 3664-3678

  12. Deriving priorities from the fuzzy best-worst method matrix and its applications: A perspective of incomplete reciprocal preference relation

    Information Sciences, Vol. 634, pp. 761-778

2022

  1. An improved HK model-driven consensus reaching for group decision making under interval-valued fuzzy preference relations with self-confidence

    Computers and Industrial Engineering, Vol. 171

  2. Consensus progress for large-scale group decision making in social networks with incomplete probabilistic hesitant fuzzy information

    Applied Soft Computing, Vol. 126

  3. Multiplicative Consistency Ascertaining, Inconsistency Repairing, and Weights Derivation of Hesitant Multiplicative Preference Relations

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 52, Núm. 11, pp. 6806-6821

  4. Social Trust Driven Consensus Reaching Model With a Minimum Adjustment Feedback Mechanism Considering Assessments-Modifications Willingness

    IEEE Transactions on Fuzzy Systems, Vol. 30, Núm. 6, pp. 2019-2031

  5. Social network clustering and consensus-based distrust behaviors management for large-scale group decision-making with incomplete hesitant fuzzy preference relations

    Applied Soft Computing, Vol. 117

  6. Some models to manage additive consistency and derive priority weights from hesitant fuzzy preference relations

    Information Sciences, Vol. 586, pp. 450-467