Fuzzy Linguistic Summaries of Databases for an Efficient Business Data Analysis and Decision Support
Janusz Kacprzyk, Ronald R. Yager, Sławomir Zadrożny · Kluwer Academic Publishers eBooks · 2005
We present the use of fuzzy logic for the derivation of linguistic summaries of data (databases) for providing efficient and human consistent means for the analysis of large amounts of data to be used for a more realistic business decision support. We concentrate on the issue of how to measure the goodness of a linguistic summary, and on how to embed data summarization within the fuzzy querying environment, for an effective and efficient computer implementation. Finally, we present an implementation for deriving linguistic summaries of a sales database at a small-to-medium size computer retailer. By analyzing the linguistic summaries obtained we indicate how they can help make decisions by the business owner.