Design Performance Measurement of Intelligent Garbage Sorting Cart using Neutrosophic Sets and SuperHyperSoft

Abstract

With the rapid increase in urban waste generation, efficient and automated waste 
sorting solutions have become essential for sustainable waste management. This study evaluates 
the gent Garbage Sorting Cart under the decision-making methodology. We use the 
Quadripartitioned Single-Valued Neutrosophic Z-Numbers (QSVNZN) with four membership 
functions to dela with the uncertainty information. Two methods are used in this study, such as 
the CRITIC method to compute the criteria weights and the ARAS method to rank the 
alternatives. The decision-making process is used with the SuperHyperSoft set to deal with 
different criteria and alternatives. We used eight criteria and six alternatives. We proposed six 
collections of SuperHyperSoft. In each collection, we applied the ARAS methodology and ranked 
the alternatives. The results show stability in the ranks.

DOI: 10.5281/zenodo.14969528