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An approach based on computing with words to manage experts behavior in consensus reaching processes with large groups.

, , and . FUZZ-IEEE, page 476-483. IEEE, (2014)

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A Two-Stage Online Approach for Collaborative Multi-agent Planning Under Uncertainty., , , and . SUM, volume 9858 of Lecture Notes in Computer Science, page 214-229. Springer, (2016)F-EvoRecSys: Fuzzy Inference meets Evolutionary Approach for Personalized Well-being Recommendations., , , , and . iFUZZY, page 1-6. IEEE, (2021)Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation., , , , and . Inf. Fusion, (2021)Large-scale group decision making model based on social network analysis: Trust relationship-based conflict detection and elimination., , , , and . Eur. J. Oper. Res., 275 (2): 737-754 (2019)Balancing Preferences, Popularity and Location in Context-Aware Restaurant Deal Recommendation: A Bristol Case Study., , and . RecTour@RecSys, volume 2435 of CEUR Workshop Proceedings, page 38-41. CEUR-WS.org, (2019)Corrigendum to "Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation" Information Fusion Volume 69 (2020) 103-127., , , , , and . Inf. Fusion, (2021)Latent factor models and aggregation operators for collaborative filtering in reciprocal recommender systems., and . RecSys, page 219-227. ACM, (2019)Aggregation Strategies in User-to-User Reciprocal Recommender Systems., and . SMC, page 4031-4036. IEEE, (2019)A Collaborative Multiagent Framework Based on Online Risk-Aware Planning and Decision-Making., , , , and . ICTAI, page 25-32. IEEE Computer Society, (2016)An approach based on computing with words to manage experts behavior in consensus reaching processes with large groups., , and . FUZZ-IEEE, page 476-483. IEEE, (2014)