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Fusion: Practice and Applications
Volume 15 , Issue 1, PP: 227-237 , 2024 | Cite this article as | XML | Html |PDF

Title

Using Fusion Data Analysis and Compensatory Fuzzy Logic to Analyze the Socioeconomic Impact of Venezuelan Migration

  Ignacio Barcos Arias 1 * ,   Danna Villacres Castro 2 ,   Angelica Neira Toledo 3 ,   Fayzieva Muyassarzoda 4

1  Universidad Regional Autónoma de Los Andes, Babahoyo, Ecuador.
    (ub.ignaciobarcos@uniandes.edu.ec)

2  Universidad Regional Autónoma de Los Andes, Babahoyo, Ecuador.
    (db.dannamvc72@uniandes.edu.ec)

3  Universidad Estatal de Milagro, UNEMI. Km. 1½ vía Milagro - km.26, Milagro, Ecuador
    (nneirat@unemi.edu.ec)

4  Tashkent State University of Economics, Uzbekistan
    (m.fayzieva@tsue.uz)

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Doi   :   https://doi.org/10.54216/FPA.150118

Received: August 27, 2023 Revised: December 17, 2023 Accepted: March 12, 2024

Abstract :

The surge of Venezuelan migration has left indelible marks on various regions, notably within Babahoyo Canton, presenting both challenges and opportunities for local communities. This study delves into the socio-economic impacts of Venezuelan migration on Babahoyo throughout 2023, employing a sophisticated blend of compensatory fuzzy logic and information fusion techniques. These methodologies offer a nuanced exploration of the migration's effects, capturing the complex interplay between local perceptions, labor market fluctuations, and broader economic dynamics. The findings underscore the critical need for comprehensive integration strategies that not only facilitate the socio-cultural adaptation of migrants but also leverage local public policies to mitigate adverse impacts while maximizing potential benefits. Ultimately, this research aims to illuminate pathways for informed decision-making and policy development, ensuring that responses to Venezuelan migration in Babahoyo are both effective and empathetic, thus fostering a more integrated and resilient community.

Keywords :

compensatory fuzzy logic; Venezuelan migration; information fusion; geometric mean

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Cite this Article as :
Style #
MLA Ignacio Barcos Arias, Danna Villacres Castro, Angelica Neira Toledo, Fayzieva Muyassarzoda. "Using Fusion Data Analysis and Compensatory Fuzzy Logic to Analyze the Socioeconomic Impact of Venezuelan Migration." Fusion: Practice and Applications, Vol. 15, No. 1, 2024 ,PP. 227-237 (Doi   :  https://doi.org/10.54216/FPA.150118)
APA Ignacio Barcos Arias, Danna Villacres Castro, Angelica Neira Toledo, Fayzieva Muyassarzoda. (2024). Using Fusion Data Analysis and Compensatory Fuzzy Logic to Analyze the Socioeconomic Impact of Venezuelan Migration. Journal of Fusion: Practice and Applications, 15 ( 1 ), 227-237 (Doi   :  https://doi.org/10.54216/FPA.150118)
Chicago Ignacio Barcos Arias, Danna Villacres Castro, Angelica Neira Toledo, Fayzieva Muyassarzoda. "Using Fusion Data Analysis and Compensatory Fuzzy Logic to Analyze the Socioeconomic Impact of Venezuelan Migration." Journal of Fusion: Practice and Applications, 15 no. 1 (2024): 227-237 (Doi   :  https://doi.org/10.54216/FPA.150118)
Harvard Ignacio Barcos Arias, Danna Villacres Castro, Angelica Neira Toledo, Fayzieva Muyassarzoda. (2024). Using Fusion Data Analysis and Compensatory Fuzzy Logic to Analyze the Socioeconomic Impact of Venezuelan Migration. Journal of Fusion: Practice and Applications, 15 ( 1 ), 227-237 (Doi   :  https://doi.org/10.54216/FPA.150118)
Vancouver Ignacio Barcos Arias, Danna Villacres Castro, Angelica Neira Toledo, Fayzieva Muyassarzoda. Using Fusion Data Analysis and Compensatory Fuzzy Logic to Analyze the Socioeconomic Impact of Venezuelan Migration. Journal of Fusion: Practice and Applications, (2024); 15 ( 1 ): 227-237 (Doi   :  https://doi.org/10.54216/FPA.150118)
IEEE Ignacio Barcos Arias, Danna Villacres Castro, Angelica Neira Toledo, Fayzieva Muyassarzoda, Using Fusion Data Analysis and Compensatory Fuzzy Logic to Analyze the Socioeconomic Impact of Venezuelan Migration, Journal of Fusion: Practice and Applications, Vol. 15 , No. 1 , (2024) : 227-237 (Doi   :  https://doi.org/10.54216/FPA.150118)
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