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How to generate more effective BPA for different situations is always an open and hot topic. In this study, we present an approach for obtaining BPA based on the normal cloud model called combined fuzzy similarity measure (CFSM). The method first constructs the normal cloud model of each class of sample in each attribute by an interval number and uses the mean standard deviation to obtain the interval number for the test sample, thereby obtaining the normal cloud model. Then, the similarity between the test samples and the training samples is quantified based on the area relationship, thereby obtaining the BPA of the test samples. Finally, the evidence combination method based on the intuitionistic fuzzy earth mover\u2019s distance (IFEMD) is used for experimental analysis. 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