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You normalize the decision matrix by dividing each entry by the sum of its own column. This column-wise operation ensures that the sum of the normalized values in each criterion column equals 1.

Conditions: The matrix contains nonnegative numerical attribute values.; The sum of each column must be nonzero.; Normalization is applied independently to each criterion column.

You normalize the decision matrix by dividing each entry by the sum of its own column. This column-wise operation ensures that the sum of the normalized values in each criterion column equals 1.

Conditions: The matrix contains nonnegative numerical attribute values.; The sum of each column must be nonzero.; Normalization is applied independently to each criterion column.