Linguistic summaries of time series via a quantifier based aggregation using the Sugeno integral

J. Kacprzyk*, A. Wilbik, S. Zadrozny

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review


Linguistic summaries as descriptions of trends in time series data are proposed. Two general types of such summaries are discussed. The point of departure are linguistic summaries of databases due to Yager. The specificity of time series summarization requires a more general approach to linguistic quantifier based aggregation. Sugeno integrals are employed to address this problem.
Original languageEnglish
Title of host publicationProceedings of 2006 IEEE World Congress on Computational Intelligence
PublisherIEEE Press
Number of pages7
Publication statusPublished - 2006
Externally publishedYes

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