The matrix W=〖(w_1,w_2,...,w_n)〗^T is the approximate value of the eigenvector to be sought, that is, the approximate value of the weight coefficient of the judgment matrix.
Matrix w = (W)_ 1,w_ 2,…,w_ n) T is the approximate value of the eigenvector, that is, the approximate value of the weight coefficient of the judgment matrix.<br>
The matrix w = [(w _ 1, w _ 2, …, w _ n)] t is the approximate value of the eigenvector, that is, the approximate value of the weight coefficient of the judgment matrix.