Data preprocessing method for psychological scale

The invention discloses a data preprocessing method for a psychological scale. The method comprises the following steps: in step S1, an option to be retained and an option to be deleted are obtained from at least two options, and at least two psychological scale samples of known disease information are obtained; in step S2, the option to be deleted is combined and reduced to the option to be retained, a data set based on a retained option set is obtained, and the pretreatment of options in the psychological scale is implemented; a title of the psychological scale is subjected to attribute reduction according to the psychological scale samples of the known disease information, a fuzzy title is deleted, and preprocessing of the title of the psychological scale is realized. The method can help reduce the ambiguity of options in psychometric data and solve a problem that the attributes are large in quantity and cannot be reduced when the samples are small in quantity, the psychometric datacan be effectively mined