An overview of fuzzy quantifiers. (I). Interpretations
Fuzzy Sets and Systems
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
An Approach to the Linguistic Summarization of Data
IPMU '90 Proceedings of the 3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems: Uncertainty in Knowledge Bases
On two possible roles of type-2 fuzzy sets in linguistic summaries
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Type-2 Fuzzy Summarization of Data: An Improved News Generating
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
A functional interpretation of linguistic summaries of data
Information Sciences: an International Journal
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The paper focuses on a practical use of knowledge extraction mechanisms in mining databases. The fuzzy-based methods that enable the linguistic interpretation of large sets of numerical data, are presented. In particular, generating the so-called linguistic summaries of databases, exemplified by About half of records have very high values of attribute A, in sense of Yager [1] with further improvements [2], [3] is described. The original contribution by the author is the class of algorithms, based on linguistic summaries, which enable automated generating of brief textual news or comments to be published in press and/or WWW. The obtained messages describe quantitative dependencies among chosen values or attributes. Moreover, the produced results are expressed in semi-natural language which makes them readable for an average user. Finally, a prototype implementation on sample data is described.