Evaluation of the Economic Viability of Circular Models in Agriculture Based on Neutrosophic Cognitive Maps
Ketty Marilú Moscoso-Paucarchuco 1,*, Manuel Michael Beraún-Espíritu 2, Uriel Rigoberto Quispe-Quezada 3, Silvia Marina Alvarez-Bernuy 4, Miguel Angel Quispe Solano 5, Edson Hilmer Julca-Marcelo 5, Arturo Gamarra-Moreno 5, and Wilfredo Ramirez-Salas 5
1National Autonomous Highland University of Tarma, Peru.
2Continental University, Peru.
3National Autonomous University of Huanta, Peru.
4Technological University of Peru, Peru.
5 National University of the Center of Peru, Peru.
Emails: kmoscoso@unaat.edu.pe; mberaun@continental.edu.pe; uquispe@unah.edu.pe; c26802@utp.edu.pe; mquispe@uncp.edu.pe; edsonjm@uncp.edu.pe; ahgamarra@uncp.edu.pe; wramirez@uncp.edu.pe
Abstract
The main purpose of this evaluation is to analyze the economic viability of the implementation of circular models in agriculture in Tarma, Peru. This involves examining the costs and benefits associated with the adoption of circular practices, as well as identifying possible barriers and opportunities for their implementation at the local level. By better understanding the economic landscape, it will be possible to inform decision-making both at the government level and at the level of individual farmers. For the analysis, we have a committee of 30 experts who will evaluate the relationship between variables that positively or negatively affect the implementation of these models in the town. The tool selected for the analysis is Neutrosophic Cognitive Maps, which includes an indeterminacy component within the calculations. This allows greater accuracy in the results since indeterminacy is an inherent part of prediction.
Keywords: Circular Agriculture; Sustainable Agriculture; Neutrosophic Cognitive Map; Neutrosophic Number; Neutrosophic Graph; Hidden Patterns.