Utilizing Python for Neutrosophic Theory: A Study of Neutrosophic Crisp Sets and Topological Spaces

Abstract

Python programming is a fundamental component of modern research that greatly reduces the workload for human resources. Researchers all throughout the world find that encoding their data into code gives them rapid computational power. Python's efficiency and adaptability are vital for enhancing research activities in mathematics, especially in areas like topology. In a world characterized by indeterminacy, traditional crisp sets, with their rigid boundaries of truth and falsehood, fail to accurately reflect reality. Consequently, neutrosophic theory has emerged in contemporary research as an alternative way to represent the real world. In this paper, finding the Neutrosophic Crisp Set(NCS), Neutrosophic Crisp Topological space(NCTS) utilizing Python programming.