On linguistic summaries of time series using a fuzzy quantifier based aggregation via the Sugeno integral

J. Kacprzyk, A. Wilbik, S. Zadrozny

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationHybrid intelligent systems
Subtitle of host publicationanalysis and design
EditorsO. Castillo, P. Melin, J. Kacprzyk, W. Pedrycz
Place of PublicationBerlin
PublisherSpringer
Chapter25
Pages415-433
Number of pages19
ISBN (Print)978-3-540-37419-0, 978-3-540-37421-3
DOIs
Publication statusPublished - 2007
Externally publishedYes

Publication series

NameStudies in Fuzziness and Soft Computing (STUDFUZZ)
Volume208

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