Neutrosophic Sets and Systems
Abstract
The analysis of the Strategic Development Plan for extreme poverty municipalities in the Province of Huancayo, Peru in 2019 using Treesoft Set and neutrosophic sets represents an innovative and rigorous approach to evaluate development strategies in challenging socioeconomic contexts. In this study, advanced data analysis and uncertainty management tools are used to thoroughly examine the actions proposed in the strategic plan and their potential impact on the most vulnerable communities. The combination of Treesoft Set, a comprehensive platform for data analysis, and neutrosophic sets, which allow the modeling of imprecision and ambiguity in collected data and opinions, offers a robust methodology to address the complexity inherent in planning and executing strategy strategies. development in municipalities with high levels of poverty.This analysis seeks to identify both the strengths and possible areas of improvement of the Strategic Development Plan, providing an objective and well-founded basis for decision-making in public policies aimed at reducing poverty and promoting sustainable development. By exploring the multiple dimensions of socioeconomic development through the application of Treesoft Set and neutrosophic sets, this study aims to contribute to the design of more effective interventions adapted to the specific needs of extreme poverty municipalities in the Province of Huancayo. This methodological approach has the potential to generate significant insights that can inform and improve local development strategies, thus promoting a positive and lasting impact on the living conditions of the most vulnerable populations.
Recommended Citation
Paucar, Edwin Collazos; Jeri G. Ramón Ruffner de Vega; Efrén S. Michue Salguedo; Agustina C. Torres-Rodríguez; and Patricio A. Santiago-Saturnino. "Analysis Using Treesoft Set of the Strategic Development Plan for Extreme Poverty Municipalities." Neutrosophic Sets and Systems 69, 1 (2024). https://digitalrepository.unm.edu/nss_journal/vol69/iss1/3