Publikationen, an denen er mitarbeitet Yejun Xu (37)

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 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

  4. 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

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

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

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

    Computers and Industrial Engineering, Vol. 176

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

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

  8. 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

  9. 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

  10. 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

  11. 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. Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants’ individual attributes and concerns

    Information Fusion, Vol. 77, pp. 220-232

  4. 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

  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

  7. Special issue on Soft Computing based Intelligent Decision Making Systems for Dynamic Frameworks with Real-world Application

    Applied Soft Computing

2021

  1. Algorithms to Detect and Rectify Multiplicative and Ordinal Inconsistencies of Fuzzy Preference Relations

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 51, Núm. 6, pp. 3498-3511

  2. Consensus of large-scale group decision making in social network: the minimum cost model based on robust optimization

    Information Sciences, Vol. 547, pp. 910-930