Linguistic summaries of data bases

In this paper, linguistic models are used to summarize information in a corporate data base. This approach provides a tool for analyzing generalizations made by managers which involve subjective data. In particular, fuzzy sets and the concept of quantification of a proposition are used to help generate these linguistic summaries. The ideas of truth and specificity are introduced to provide a quantitative measure of the model performance.