Publikationen, an denen er mitarbeitet Enrique Herrera Viedma (95)

2023

  1. A Granular-Based Approach to Address Multiplicative Consistency of Reciprocal Preference Relations in Decision-Making

    Proceedings of the Annual Hawaii International Conference on System Sciences

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

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Analyzing Different Protocols of Information Granularity Distribution to Improve Consistency of Fuzzy Preference Relations in Decision-Making

    2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023

  5. Soft Computing: Theory Innovations and Problem-Solving Benefits Minitrack

    Proceedings of the Annual Hawaii International Conference on System Sciences

  6. The arithmetic of triangular Z-numbers with reduced calculation complexity using an extension of triangular distribution

    Information Sciences, Vol. 647

  7. Z-number-valued rule-based classification system

    Applied Soft Computing, Vol. 137

2022

  1. A Granular Computing-Based Model for Group Decision-Making in Multi-Criteria and Heterogeneous Environments

    Proceedings of the Annual Hawaii International Conference on System Sciences

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

    Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022

  3. A Web Group Decision Support System Based on Granular Computing

    Frontiers in Artificial Intelligence and Applications

  4. A new application for multi criteria decision making processes in e-government scenarios

    Procedia Computer Science

  5. An Improvement of Consensus in Group Decision-Making Through an Optimal Distribution of Information Granularity

    Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022

  6. Evaluation metrics and dimensional reduction for binary classification algorithms: A case study on bankruptcy prediction

    Knowledge Engineering Review, Vol. 37, Núm. 4

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

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  8. Soft Computing: Theory Innovations and Problem Solving Benefits Minitrack

    Proceedings of the Annual Hawaii International Conference on System Sciences

2021

  1. A Granular Computing Based Approach for Improving the Consistency of Intuitionistic Reciprocal Preference Relations

    Studies in Fuzziness and Soft Computing (Springer), pp. 457-469

  2. A distribution of information granularity to deal with inconsistency in multi-criteria and heterogeneous group decision making

    Proceedings of the Annual Hawaii International Conference on System Sciences

  3. Machine Learning and Traditional Econometric Models: A Systematic Mapping Study

    Journal of Artificial Intelligence and Soft Computing Research, Vol. 12, Núm. 2, pp. 79-100

  4. Managing Group Decision Making criteria values using Fuzzy Ontologies

    Procedia Computer Science

  5. Soft computing: Theory innovations and problem solving benefits minitrack

    Proceedings of the Annual Hawaii International Conference on System Sciences