In this study, for the Analytic Hierarchy Process (AHP) and the Analytic Network Process (ANP), the improving normalization method is considered. In the traditional AHP and ANP, the sum of weights of alternatives is normalized to 1. Using this method, some problems, for example rank reversal, were pointed out. Based on the numerical results, one of the causes of these problems is the inappropriate normalizing process. Therefore, for the AHP and the ANP, at first, in this paper, two kind of normalization method are described. One is normalizing to 1 to the sum of the column vector of alternatives for each criterion, and other is normalizing to 1 to the maximum element of each column vector of alternatives. At second, some problems by using two kind of method are shown. At third, by applying proposed method to the verification example, it shows that the correct result is obtained. Finally, proposed normalization method is discussed and concluded.