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 Proxies - researchr publication authors

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Héctor Echavarría-Heras, Cecilia Leal Ramírez, Juan Ramón Castro-Rodríguez, Enrique Villa-Diharce, Oscar Castillo. 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 Proxies. 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]

This author has not been identified. Look up 'Héctor Echavarría-Heras' in GoogleThis author has not been identified. Look up 'Cecilia Leal Ramírez' in GoogleThis author has not been identified. Look up 'Juan Ramón Castro-Rodríguez' in GoogleThis author has not been identified. Look up 'Enrique Villa-Diharce' in GoogleThis author has not been identified. Look up 'Oscar Castillo' in Google

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