A Neutrosophic Mathematical Model for Measuring Technological Innovation Capability in New Energy Vehicle Companies

Abstract

Measuring innovation capability in new energy vehicle (NEV) companies is difficult 
because the data is often uncertain, incomplete, or even conflicting. Traditional models 
cannot handle this complexity well. In this paper, we propose a new mathematical model 
based on neutrosophic logic. Neutrosophic sets allow us to represent three separate 
values: truth (T), indeterminacy (I), and falsity (F). This helps us deal with situations 
where we are not fully sure about the data. 
We create a full mathematical system to evaluate innovation indicators using 
neutrosophic logic. We include clear formulas, explain every step, and use a real-style 
dataset of six NEV companies. We calculate innovation capability scores and explain the 
results using simple logic and visual tools. Our model gives more accurate and more 
transparent results than traditional methods. It is useful for researchers, companies, 
investors, and decision-makers who want to measure innovation more reliably. 

DOI: 10.5281/zenodo.16365943