Abstract: The traditional neighborhood classification method strictly classifies uncertain data, which may lead to serious classification errors. Therefore, a three way classification method based on fuzzy membership degree neighborhood coverage is proposed. The fuzzy neighborhood covering method was introduced to construct the uncertainty measure related to the membership degree of neighborhood coverage, and the membership degree approximation of data distribution was provided. Three way classification strategies were used to reduce the classification risk. The experimental results of several datasets show that the proposed method can greatly reduce the classification risk under the condition of ensuring the classification accuracy.