Neutrosophic cognitive maps for analysis of social problems analysis

V. B. Frantz Dimitri^1,*, M. G. Teresa De Jesús², P. A. Edmundo Enrique³

¹Docente de la carrera de Derecho de la Universidad Regional Autónoma de los Andes (UNIANDES Ambato), Ecuador

²Docente de la carrera de Derecho de la Universidad Regional Autónoma de los Andes (UNIANDES Ibarra), Ecuador

Docente de la carrera de Derecho de la Universidad Regional Autónoma de los Andes (UNIANDES Puyo), Ecuador

Email: ua.frantzvillamarin@uniandes.edu.ec; ui.teresamolina@uniandes.edu.ec;  up.edmundopino@uniandes.edu.ec

Abstract

Investors have been flocking to the information technology (IT) industry recently. Any commercial or IT company's success is directly proportional to its employees' efforts. The workforce's contributions are crucial when it comes to the success of technology or any other business on the global stage. However, they will disregard their personal and social lives to achieve their aim. Workers in the private sector, particularly those in the information technology industry, suffer from mental health issues such as stress, depression, anxiety, and addiction. Using Neutrosophic Cognitive Maps (NCM), we evaluated the daily problem they face. The NCM decision-making system incorporates iterative tasks of resolving conflicts until the optimal answer is reached. The NCM uses neutrosophic graphs to model depending on the opinions of experts. Studying the issue with such vague data calls for an approach such as this, which eschews the use of statistics. For unlabeled data, NCM is the most effective method.

Keywords: Social Problem; Neutrosophic Sets; Neutrosophic Cognitive Maps; Decision Making;