  Pairwise comparison matrix as a crucial component of AHP, presents the
prefer- ence relations among alternatives. However, in many cases, the pairwise
comparison matrix is difficult to complete, which obstructs the subsequent
operations of the clas- sical AHP. In this paper, based on DEMATEL which has
ability to derive the total relation matrix from direct relation matrix, a new
completion method for incomplete pairwise comparison matrix is proposed. The
proposed method provides a new per- spective to estimate the missing values
with explicit physical meaning. Besides, the proposed method has low
computational cost. This promising method has a wide application in
multi-criteria decision-making.
