José Ramón Trillo

According to our database, José Ramón Trillo authored at least 14 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

A Group Decision-Making Method Based on the Experts' Behavior During the Debate.

José Ramón Trillo, Enrique Herrera-Viedma, Juan Antonio Morente-Molinera, Francisco Javier Cabrerizo

IEEE Trans. Syst. Man Cybern. Syst., September, 2023

Supplementary material (Debate).

José Ramón Trillo

Dataset, February, 2023

A large scale group decision making system based on sentiment analysis cluster.

José Ramón Trillo, Enrique Herrera-Viedma, Juan Antonio Morente-Molinera, Francisco Javier Cabrerizo

Inf. Fusion, 2023

A Group Decision-Making Method Based on Reciprocal Preference Relations Created from Sentiment Analysis.

José Ramón Trillo, Ignacio Javier Pérez, Enrique Herrera-Viedma, Juan Antonio Morente-Molinera, Francisco Javier Cabrerizo

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

A Multi-criteria Group Decision-Making Method in Changeable Scenarios Based on Self-adjustment of Weights Using Reciprocal Preference Relations.

José Ramón Trillo, Sergio Alonso, Ignacio Javier Pérez, Enrique Herrera-Viedma, Juan Antonio Morente-Molinera, Francisco Javier Cabrerizo

Proceedings of the Fuzzy Logic and Technology, and Aggregation Operators, 2023

A Consensus-Based Multi-Criteria Group Decision-Making Method Based on an Aggregated Operator Customised by Experts.

José Ramón Trillo, Francisco Javier Cabrerizo, Maria José del Moral, Juan Antonio Morente-Molinera, Juan Miguel Tapia García, Enrique Herrera-Viedma

Proceedings of the 9th International Conference on Control, 2023

2022

A Large-Scale Group Decision-Making Method based on Sentiment Analysis for the Detection of Cooperative Group.

José Ramón Trillo, Francisco Javier Cabrerizo, Ignacio Javier Pérez, Juan Antonio Morente-Molinera, Sergio Alonso, Enrique Herrera-Viedma

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Challenges in Fuzzy Decision Making for Future Research.

José Ramón Trillo, Enrique Herrera-Viedma, María José Higueras-Ruiz, Sergio Alonso, Juan Antonio Morente-Molinera, Francisco Javier Cabrerizo

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2022

Large-scale group decision-making method based on knowledge differentiation and the grouping of alternatives into modifiable scenarios.

José Ramón Trillo, Enrique Herrera-Viedma, María José Higueras-Ruiz, Sergio Alonso, Juan Antonio Morente-Molinera, Francisco Javier Cabrerizo

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

Large-Scale Group Decision-Making Method based on Trust Clustering among Experts.

José Ramón Trillo, Francisco Javier Cabrerizo, Juan Antonio Morente-Molinera, Enrique Herrera-Viedma, Slawomir Zadrozny, Janusz Kacprzyk

Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022

Multi-Granular Large Scale Group Decision-Making Method with a New Consensus Measure Based on Clustering of Alternatives in Modifiable Scenarios.

José Ramón Trillo, Ignacio Javier Pérez, Enrique Herrera-Viedma, Juan Antonio Morente-Molinera, Francisco Javier Cabrerizo

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

2021

Managing Group Decision Making criteria values using Fuzzy Ontologies.

Juan Antonio Morente-Molinera, Francisco Javier Cabrerizo, José Ramón Trillo, Ignacio J. Pérez, Enrique Herrera-Viedma

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

A Multi-criteria Group Decision Making Procedure Based on a Multi-granular Linguistic Approach for Changeable Scenarios.

José Ramón Trillo, Enrique Herrera-Viedma, Francisco Javier Cabrerizo, Juan Antonio Morente-Molinera

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

2020

HFER: Promoting Explainability in Fuzzy Systems via Hierarchical Fuzzy Exception Rules.

José Ramón Trillo, Alberto Fernández, Francisco Herrera

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020