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

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.