A Neutrosophic Cubic Fuzzy Dynamic Interaction Model for Occupational Health and Safety Management Analysis in Modern Logistics Enterprises

Abstract

Occupational health and safety (OHS) risks in modern logistics enterprises are complex 
and interrelated. Traditional evaluation methods often ignore the dynamic interaction 
between different risks. In this paper, we propose a novel mathematical model based on 
neutrosophic cubic fuzzy sets to evaluate OHS risks more effectively. We introduce a new 
operator called the Neutrosophic Cubic Fuzzy Dynamic Interaction Operator (NCFDIO). 
This operator models the mutual influence between different risk factors using algebraic 
product and sum operations with adjustable parameters. The proposed model allows 
experts to give uncertain and incomplete opinions, and then combines these opinions with 
the interaction logic. We also provide a complete case study to show how the model works 
with real data from logistics operations. The results show that our method offers a more 
realistic and flexible evaluation of health and safety risks than traditional approaches. 

DOI: 10.5281/zenodo.16498122