RAZONAMIENTO APROXIMADO E INTELIGENCIA ARTIFICIAL
RAZONAMIENTO APROXIMADO E INTE
Hohai University
Nankín, ChinaPublicaciones en colaboración con investigadores/as de Hohai University (48)
2025
2024
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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
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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
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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
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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
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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
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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
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Additive consistency exploration of linguistic preference relations with self-confidence
Artificial Intelligence Review, Vol. 56, Núm. 1, pp. 257-285
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An improved multiplicative acceptability consistency-driven group decision making with triangular fuzzy reciprocal preference relations
Computers and Industrial Engineering, Vol. 176
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Consensus models with aggregation operators for minimum quadratic cost in group decision making
Applied Intelligence, Vol. 53, Núm. 2, pp. 1370-1390
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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
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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
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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
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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
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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
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Consensus progress for large-scale group decision making in social networks with incomplete probabilistic hesitant fuzzy information
Applied Soft Computing, Vol. 126
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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
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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
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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
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Some models to manage additive consistency and derive priority weights from hesitant fuzzy preference relations
Information Sciences, Vol. 586, pp. 450-467