Developing Python-Based Software for Neutrosophic Set Operations

In this paper, we propose a Python-based framework for performing operations on neutrosophic sets. The implementation leverages Python's object-oriented programming features and uses Matplotlib for visualization. The system supports essential operations, including union, intersection, complement, symmetric difference, scaling, weighted average, and entropy calculation. Experimental results show that the Python-based solution provides flexibility, scalability, and easy integration with modern analytical tools.