The text mining process and its set of techniques have been widely used in order to look for new knowledge in textual documents, which can be recovered by information retrieval systems. There is a variety of methods developed to automatically organize documents based on the knowledge extracted from their content. The management of imprecision and uncertainty is very important to improve these methods. Therefore, this work proposes a method to manage imprecision and uncertainty in document organization, by clustering the documents in fuzzy clusters and extracting cluster descriptors. The proposed method was evaluated and the obtained results showed that this is a promising approach to deal with the problem of imprecision and uncertainty when organizing textual documents.