Power of Linguistic Data Summaries and Their Protoforms
Janusz Kacprzyk, Sławomir Zadro ̇zny · Atlantis computational intelligence systems · 2012
We consider linguistic data (base) exemplified by, for a personnel database, “most employees are young and well paid” (with some degree of truth) and their extensions as a very general tool for a human consistent summarization of large data sets. We advocate the use of the concept of Zadeh’s protoforms (prototypical forms) of linguistic summaries, in their more advanced form proposed by Kacprzyk and Zadro zny. Then, we present an extension of our interactive approach to the generation of linguistic summaries through the use of our fuzzy querying interface supporting queries with fuzzy linguistic quantifiers. We concentrate on a specific type of linguistic summaries which parallel specific fuzzy association rules, and show the use of an efficient algorithm for mining such rules. We show an extension to the dynamic case of by using linguistic summaries of times series data. As an example we show the use of linguistic summaries for Web server log analysis, in both the static and dynamic case. The results can be useful for the design and maintenance of computer networks.