Researcher profile

Patricia Melín

5 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. General Type-2 fuzzy edge detectors applied to face recognition systems

    2016

    Edge detection is an essential step used in image processing systems and can be applied to image sets before the training phase in pattern recognition systems to improve performance. An edge detector simplifies the analysis …

  2. A New Hybridization Approach between the Fireworks Algorithm and Grey Wolf Optimizer Algorithm

    2018 · Journal of Optimization

    The main aim of this paper is to present a new hybridization approach for combining two powerful metaheuristics, one inspired by physics and the other one based on bioinspired phenomena. The first metaheuristic is based …

  3. A New Interval Type-2 Fuzzy Aggregation Approach for Combining Multiple Neural Networks in Clustering and Prediction of Time Series

    2022 · International Journal of Fuzzy Systems

    Inspired by how some cognitive abilities affect the human decision-making process, the proposed approach combines neural networks with type-2 fuzzy systems. The proposal consists of combining computational models of artificial neural networks and fuzzy systems …

  4. Interval Type-3 Fuzzy Aggregation for Hybrid-Hierarchical Neural Classification and Prediction Models in Decision-Making

    2023 · Axioms

    In all organizations, many decision analysts acquire their skills through the experience of facing challenges to structure complex problems. Therefore, every day, the use of tools to integrate indicators through multi-attribute ordering, component-based separation, and …

  5. A Bio-Inspired Roach Infestation Algorithm with Generalized Type-2 Fuzzy Based Parameter Adaptation for Large-Scale Optimization

    2026 · Journal of Intelligent & Fuzzy Systems

    Bio-inspired optimization techniques, such as Particle Swarm Optimization (PSO), Cuckoo Search (CS), and Roach Infestation Optimization (RIO), have been extensively explored to find solutions of complex optimization problems that would be computationally expensive with traditional …