Abstract
We propose the use of linguistic data summaries, exemplified by the proposition “most employees are young and well paid” (with a degree of validity), to grasp relevant relations in data data. We employ Yager’s (1982, 1991) concept of a linguistic data summary based on a calculus of linguistically quantified propositions. We advocate an interactive approach in that the user formulates the class of summaries of interest. We show how this is related to fuzzy database queries, and how to employ here Kacprzyk, Zadrożny—s (1994a-1997b) fuzzy querying addon, FQUERY for Access. We present an implementation for a sales database of a computer retailer.
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Kacprzyk, J. (2000). Intelligent Data Analysis via Linguistic Data Summaries: A Fuzzy Logic Approach. In: Decker, R., Gaul, W. (eds) Classification and Information Processing at the Turn of the Millennium. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57280-7_17
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DOI: https://doi.org/10.1007/978-3-642-57280-7_17
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