Abstract
We propose and advocate the use of linguistic summaries as descriptions of trends in time series data. We consider two general types of such summaries: summaries based on frequence and summaries based on duration. We employ the concept of a linguistic database summary due to Yager. To account for a specificity of time series data summarization we employ the Sugeno integrals for linguistic quantifier based aggregation.
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Kacprzyk, J., Zadrożny, S., Wilbik, A. (2007). On Linguistic Summaries of Time Series Using a Fuzzy Quantifier Based Aggregation via the Sugeno Integral. In: Castillo, O., Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Hybrid Intelligent Systems. Studies in Fuzziness and Soft Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37421-3_25
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DOI: https://doi.org/10.1007/978-3-540-37421-3_25
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