Inconsistency and rank preservation

Conditions for rank preservation in a positive reciprocal matrix that is inconsistent are provided. Three methods of deriving ratio estimates are examined: the eigenvalue, the logarithmic least squares, and the least squares methods. It is shown that only the principal eigenvector directly deals with the question of inconsistency and captures the rank order inherent in the inconsistent data.