A Neutrosophic Hyperreal Framework for Supplier Selection in Communication Product Procurement Projects

Abstract

 Supplier selection in communication product procurement is a complex task 
that involves many uncertainties and difficult trade-offs. Traditional methods often fail to 
show the small but important differences in supplier data, especially when the 
information is incomplete or uncertain. This paper introduces a new way to evaluate 
suppliers using Neutrosophic Hyperreals  a mathematical approach that can handle even 
tiny uncertainties. We created a model that measures supplier performance through three 
parts: truth, indeterminacy, and falsity, using special numbers that show small changes 
clearly. In this study, we also added a realistic case study based on a real-world scenario 
in a telecommunications company. This case study shows how the new model can rank 
suppliers better and reveal hidden risks or advantages that older methods might miss. 
Overall, the proposed model helps managers make more accurate and confident supplier 
decisions in real communication product projects. 

DOI: 10.5281/zenodo.15635486