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Article . 2024
License: CC BY
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Analysis Using Treesoft Set of the Strategic Development Plan for Extreme Poverty Municipalities

Authors: Edwin Collazos-Paucar; Jeri G. Ramón Ruffner de Vega; Efrén S. Michue Salguedo; Agustina C. Torres-Rodríguez; Patricio A. Santiago-Saturnino;

Analysis Using Treesoft Set of the Strategic Development Plan for Extreme Poverty Municipalities

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average