LINGUISTIC SUMMARIES OF DATA USING FUZZY LOGIC
Janusz Kacprzyk, Ronald R. Yager · International Journal of General Systems · 2001
We present basic ideas and perspectives related to the use of fuzzy logic for the derivation of linguistic summaries of data sets (databases in practice). We concentrate on the issue of how to measure the goodness of a linguistic summary. We advocate the use of an interactive approach in which the user indicates first the class of linguistic summaries of interest (basically, by specifying attributes relation between which he or she is interested in) by using a fuzzy querying interface to a database. Finally, we present an implementation for deriving linguistic summaries of a sales database at a computer retailer, and show how the linguistic summaries obtained can be useful for supporting decisions by the business owner.