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Volume 30, Number 1, 2025

DIMENSIONALITY MEETS ADAPTABILITY: PORTFOLIO OPTIMIZATION WITH EIGEN PORTFOLIO MANAGEMENT AND REINFORCEMENT LEARNING

A. F. Galindo-Manrique. EGADE Business School, Tecnológico de Monterrey, México. E-mail: alicia.galindo@tec.mx

N. P. Rojas. Instituto Tecnológico y de Estudios Superiores de Monterrey, Escuela de Negocios, Nuevo León, México. E-mail: nuriarojas@tec.mx

R. Caballero-Fernández. Instituto Tecnológico y de Estudios Superiores de Monterrey, Escuela de Negocios, Nuevo León, México. E-mail: rodrigocaballero@tec.mx

This study examines the comparative performance of Eigen-Portfolio Management (EPM) and Reinforcement Learning (RL) in portfolio optimization across Large-Cap, Mid-Cap, and Small-Cap equities. EPM leverages eigenvectors and eigenvalues from the covariance matrix of asset returns to construct orthogonal portfolios. On the other hand, RL applies adaptive learning through dynamic rebalancing…
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MULTI-LABEL CLASSIFICATION FOR SPANISH EMERGENCY TRIAGE IN SATURATED COMMUNICATION ENVIRONMENTS: A PRECISION-ORIENTED APPROACH

S. G. de-los-Cobos-Silva. Department of Electrical Engineering, Metropolitan Autonomous University – Iztapalapa, Mexico City, Mexico. E-mail: cobos@xanum.uam.mx

M. A. Gutiérrez-Andrade. Department of Electrical Engineering, Metropolitan Autonomous University – Iztapalapa, Mexico City, Mexico. E-mail: gamma@xanum.uam.mx

P. Lara-Velázquez. Department of Electrical Engineering, Metropolitan Autonomous University – Iztapalapa, Mexico City, Mexico. E-mail: plara@xanum.uam.mx

E. A. Rincón-García. Department of Electrical Engineering, Metropolitan Autonomous University – Iztapalapa, Mexico City, Mexico. E-mail: rincon@xanum.uam.mx

R. A. Mora-Gutiérrez. Department of Systems, Metropolitan Autonomous University – Azcapotzalco, Mexico City, Mexico. E-mail: mgra@correo.azc.uam.mx

E. Montes-Orozco. Departamento de Computación, Electrónica y Mecatrónica, Universidad de las Américas Puebla. San Andrés Cholula, Puebla, México E-mail: edwin.montes@udlap.mx

In disaster scenarios, communication networks often become congested, delaying or dropping critical emergency messages. Prioritizing life-threatening alerts is crucial to ensure limited network capacity serves the most urgent needs. This study focuses on multi-label classification of Spanish-language emergency messages, where a single text may request multiple types of assistance simultaneously.…
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CLASSIFICATION OF MARGINALIZED NEIGHBORHOODS IN MORELIA USING FUZZY LOGIC AND NEURAL NETWORKS: AN APPROACH BASED ON CONEVAL-CONAPO CRITERIA

R. Chávez-Rivera. Universidad Michoacana de San Nicolás de Hidalgo, Facultad de Contaduría y Ciencias Administrativas, Michoacán, México. E-mail: pintachavez@gmail.com

J. M. Brotons-Martínez. Universidad Miguel Hernández de Elche, Departamento de Estudios Económicos y Financieros, Elche, España. E-mail: jm.brotons@umh.es

J. V. Alcaraz-Vera. Universidad Miguel Hernández de Elche, Departamento de Estudios Económicos y Financieros, Elche, España. E-mail: jm.brotons@umh.es

B. Nares-Lara. Universidad Michoacana de San Nicolás de Hidalgo, Facultad de Contaduría y Ciencias Administrativas, Michoacán, México. E-mail: bayte.nares@umich.mx

Marginalization in Mexico is a multidimensional phenomenon that persists even in cities with seemingly favorable socioeconomic indicators. Morelia, exemplifies this paradox: it reports a very low municipal marginalization index, yet exhibits high levels of labor precariousness and inequality. Traditional classification methods, based on descriptive statistics, sometimes overlook critical qualitative factors…
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MEASURING EFFICIENCY IN HEALTHCARE SERVICE PROVIDERS USING DEA UNDER CERTAINTY AND UNCERTAINTY

Beatriz Flores-Romero. Universidad Michoacana de San Nicolás de Hidalgo (México). E-mail: martha.flores@umich.mx

Federico González-Santoyo. Instituto Iberoamericano de Desarrollo Empresarial (INIDEM). E-mail: fegosa@inidem.edu.mx

Healthcare service providers aim to fully meet population needs and foster a healthier, more productive, and happier society. This study evaluates a case of the operational efficiency of healthcare institutions (hospitals) under both certainty and uncertainty using the Data Envelopment Analysis (DEA) methodology, proposed by Charnes, Cooper, and Rhodes (1978),…
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