The Analytic Hierarchy Process (AHP) is a decision-making tool that helps individuals or teams make complex decisions by breaking them down into a series of simplified pairwise comparisons. Developed by Thomas L. Saaty in the 1970s, AHP is based on the principle that humans can make more accurate decisions by comparing alternatives systematically and objectively. AHP involves structuring decisions into a hierarchy of criteria and alternatives, and then assigning subjective weights to each criterion and comparing alternatives based on these criteria. By using a mathematical method to evaluate and prioritize the various elements of a decision, AHP allows decision-makers to make more informed and rational choices. AHP has been widely used in various fields including business, engineering, and healthcare to make decisions related to project selection, resource allocation, risk assessment, and many other complex issues. It is known for its ability to handle both quantitative and qualitative data, providing a flexible and practical approach to decision-making.