Enrique Villa-Diharce - researchr alias

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Viewing Publication 1 - 3 from 3

2020

Applying Fuzzy Logic to Identify Heterogeneity of the Allometric Response in Arithmetical SpaceCecilia Leal Ramírez, Héctor Echavarría-Heras, Enrique Villa-Diharce. In Oscar Castillo 0001, Patricia Melin, Janusz Kacprzyk, editors, Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications. Volume 862 of Studies in Computational Intelligence, pages 11-34, Springer, 2020. [doi]

2018

A Takagi-Sugeno-Kang Fuzzy Model Formalization of Eelgrass Leaf Biomass Allometry with Application to the Estimation of Average Biomass of Leaves in Shoots: Comparing the Reproducibility Strength of the Present Fuzzy and Related Crisp ProxiesHéctor Echavarría-Heras, Cecilia Leal Ramírez, Juan Ramón Castro-Rodríguez, Enrique Villa-Diharce, Oscar Castillo. In Oscar Castillo, Patricia Melin, Janusz Kacprzyk, editors, Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications. Volume 749 of Studies in Computational Intelligence, pages 329-362, Springer, 2018. [doi]

2014

Using the value of Lin's concordance correlation coefficient as a criterion for efficient estimation of areas of leaves of eelgrass from noisy digital imagesHéctor Echavarría-Heras, Cecilia Leal Ramírez, Enrique Villa-Diharce, Oscar Castillo. scfbm, 9:29, 2014. [doi]

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