
Design of a Business Sustainability Measurement Method for Based on NeutroAlgebras Generated by the Combining Function in Prospector and Neutrosophic 2-tuple Linguistic Models
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, Wilfredo Ramirez-Salas 5, Arturo Gamarra-Moreno 5
1National Autonomous Highland University of Tarma, Peru.
2Continental University, Peru.
3National Autonomous University of Huanta, Peru.
4Technological University of Peru, Peru.
5National 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, wramirez@uncp.edu.pe, ahgamarra@uncp.edu.pe
Abstract
Business sustainability has become a global imperative in response to the environmental, social, and economic challenges facing our world. In this context, the measurement and evaluation of business sustainability have become crucial to guide the actions of organizations towards more responsible and sustainable practices. However, the lack of specific measurement instruments for specific regional contexts may limit the ability of companies to evaluate and improve their sustainability performance. In this paper, we present the design of a business sustainability measurement method adapted to the context of Tarma, Peru. Tarma, a region located in the heart of the Peruvian Andes, is characterized by its cultural, environmental, and economic diversity, making it a unique context to address business sustainability. This article proposes a method for measuring business sustainability based on the Neutrosophic 2-tuple Linguistic Model, which includes an aggregation operation based on a NeutroAlgebra generated by Combining Functions in Prospector.
Keywords: Sustainability Business; Neutrosophic 2-tuple Linguistic Model; Computing with Words; NeutroAlgebra, NeutroGroup; Prospector; OffUninorm; Offset