Eigenvector Method

The Eigenvector Method is a mathematical technique used to identify the most influential factors in complex data, often in decision-making. It involves calculating eigenvectors and eigenvalues from a matrix that represents relationships or priorities among different options. The principal eigenvector points in the direction of maximum importance, helping to determine a consistent ranking or the relative weights of various criteria. Essentially, it’s a way to objectively find the most significant factors by analyzing the structure of their connections, ensuring the results are mathematically sound and reliable.