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Linguistic summarization of data sets using association rules

We discuss linguistic summaries of databases introduced by Yager. Starting with our previous work we propose some extensions to the form of a linguistic summary. The new form still fits the scheme of an association rule. However, in comparison to the previous approaches, the use of a range of linguistic values as items and their linguistically quantified aggregation is allowed. An algorithm for mining such association rules within this framework, via the authors' FQUERY for Access package, is presented. Moreover, we show that Zadeh's idea of protoforms, and their hierarchies, can be employed to represent various types of linguistic summaries.