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arXiv · 1310.7829

About Summarization in Large Fuzzy Databases

Ines Benali Sougui·Minyar Sassi Hidri·Amel Grissa-Touzi
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Abstract

Moved by the need increased for modeling of the fuzzy data, the success of the systems of exact generation of summary of data, we propose in this paper, a new approach of generation of summary from fuzzy data called Fuzzy-SaintEtiQ. This approach is an extension of the SaintEtiQ model to support the fuzzy data. It presents the following optimizations such as 1) the minimization of the expert risk; 2) the construction of a more detailed and more precise summaries hierarchy, and 3) the co-operation with the user by giving him fuzzy summaries in different hierarchical levels

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Ines Benali Sougui, Minyar Sassi Hidri, Amel Grissa-Touzi. 2013-10-29. About Summarization in Large Fuzzy Databases. https://arxiv.org/abs/1310.7829

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