Application of the Neutrosophic COPRAS Information Fusion Method to Assess the Impact of Retirement on Well-being and Family Cohesion

 

Mesías Elías M. Maliza1, Ned Vito Q. Arnaiz2, Diego Xavier C. Valencia3, Nasser El-Kanj4,*

 

1 Universidad Regional Autónoma de Los Andes, Riobamba. Ecuador.

2 Universidad Regional Autónoma de Los Andes Santo, Domingo. Ecuador.

3 Universidad Regional Autónoma de Los Andes, Ibarra. Ecuador.

4 College of Business Administration, American University of the Middle East, Egaila, 54200, Kuwait

Emails: ur.mesiasmachado@uniandes.edu.ec; us.nedquevedo@uniandes.edu.ec; ui.diegochamorro@uniandes.edu.ec, Nasser.El-Kanj@aum.edu.kw

 

Abstract

This study leverages the Neutrosophic COPRAS method to assess strategies for easing the transition into retirement, focusing specifically on the critical role of emotional and psychological support. By incorporating neutrosophic sets, the research captures the complexity and ambiguity inherent in human perceptions of retirement and its impact on family dynamics, especially within the socio-economic and cultural context of Ecuador. The Neutrosophic COPRAS method facilitates a nuanced analysis, enabling the evaluation of strategies under conditions of uncertainty and indeterminacy. Key findings highlight the necessity of implementing targeted support programs that directly address the emotional and psychological challenges associated with retirement. The study’s innovative approach not only contributes to the understanding of retirement's effect on family dynamics but also showcases the Neutrosophic COPRAS method as a valuable tool for decision-making in complex scenarios. It calls for the development of policies and programs that are specifically designed to meet the unique needs of the Ecuadorian population, emphasizing the importance of cultural and socio-economic considerations in crafting interventions to promote healthy retirement adaptation and family cohesion.

 

Keywords: Neutrosophic COPRAS method; Information Fusion retirement; family dynamics, socio-economic factors.