Evaluation of three projects integrating ancestral knowledge into the circular economy in Peru using Neutrosophic N-Soft Sets, Neutrosophic Sets and Systems
The circular economy model, based on the reduction, reuse, and recycling of resources, is gaining increasing importance in today's society, particularly in sustainability. This research examines incorporating ancestral knowledge into this paradigm, addressing the connection between intercultura...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2025-05-01
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| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | https://fs.unm.edu/NSS/02.%20AncestralKnowledgeCircularEconomy.pdf |
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| Summary: | The circular economy model, based on the reduction, reuse, and recycling of resources, is gaining increasing importance in today's society, particularly in sustainability. This research examines incorporating ancestral knowledge into this paradigm, addressing the connection between interculturality and sustainable resource management. Ancient communities have cultivated knowledge about natural resource management, recycling, and preservation that can be useful for contemporary circular economy strategies. Through an intercultural study, the multiple ways in which native and traditional cultures contribute to the circular economy are recognized, often with practices that have endured for centuries. However, the incorporation of this knowledge into contemporary legislative and economic contexts encounters multiple obstacles, including cultural, financial, and political barriers. The objective of this article is to evaluate three projects integrating ancestral Peruvian knowledge with the circular economy. Five experts evaluated these projects. The mathematical tool we used is Neutrosophic N-Soft Sets, where each object is associated with a grade on a scale from 0 to N-1, where N is a natural number greater than 1 and also a Single-Valued Neutrosophic Number. This ensures decision-making in multi-attribute problems where uncertainty is explicitly taken into account. |
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| ISSN: | 2331-6055 2331-608X |