Analyzing Pharmaceutical Compounds through Neutrosophic Over Soft Hyperconnected Spaces

Correlation is crucial in the decision-making approach. The foundational concepts of neutrosophic sets and topological spaces within the context of a basic environment is given. It introduces and explores innovative concepts such as neutrosophic over soft semi-j open sets and neutrosophic over soft hyperconnected spaces. Through a numerical illustration, the manuscript demonstrates the application of these concepts to determine the most effective method for a novel pharmaceutical application using a neutrosophic over soft measure of correlation. The findings highlight the practical utility and potential of these new theoretical constructs in enhancing decision-making processes within the pharmaceutical industry.