Multi-Criteria Data Analysis with Interval-Valued Neutrosophic Sets to Decrease Plastic Pollution rivers

C. B. Aurelia Maria1^1,*, I. Q. Janneth Ximena², P. P. Alex Javier³

¹Docente de la Carrera de Administración de Empresas de la Universidad Regional Autónoma de los

Andes (UNIANDES), Ecuador

²Docente de la carrera de Derecho de la Universidad Regional Autonoma de los Andes (UNIANDES

Riobamba), Ecuador

³Docente de la carrera de Derecho de la Universidad Regional Autonoma de los Andes (UNIANDES

Babahoyo), Ecuador

Emails: ua.aureliacleonares@uniandes.edu.ec; ur.jannetiglesias@uniandes.edu.ec;

ub.alexpenafiel@uniandes.edu.ec

Abstract

Whether for human consumption, agricultural production, or industrial processes, groundwater, and rivers, in particular, are crucial. The river is a major water source; therefore, we must do all we can to keep it clean. Inconsistencies in data, algorithms and expert judgments have contributed to the growing recognition of ambiguity analysis' significance. However, it is not common practice to include vulnerability assessment in MCA based Interval-Valued Neutrosophic Sets (IVNSs). To better understand what causes MCA uncertainty, this research examines the factors that contribute to it. Probabilistic techniques, indicator-based methods, and neutrosophic logic are examined as examples of broad approaches to analysis methods in MCA. The practicality, financial and ecological consequences, unexpected social and environmental implications, possible scale of change, and confirmation of the impact of plastic reduction strategies were investigated using an MCA technique.

Keywords: MCA; Decision Support Analysis; Uncertainty; Rivers Pollution; Interval-Valued Neutrosophic Sets;