Linguistic summaries of time series via an OWA operator based aggregation of partial trends

J. Kacprzyk, A. Wilbik, S. Zadrozny

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

17 Citations (Scopus)

Abstract

We extend our approach to the linguistic summarization of (numerical) time series. The main issue boils down to the identification of trends in time series that are characterized by a set of attributes followed by their appropriate aggregation. We propose to use the OWA (ordered weighted averaging) operators for the aggregation of partial trends as an alternative to the use of the classic Zadeh's calculus of linguistically quantified propositions, the Sugeno integral and the Choquet integral. The use of the OWA operators provides a convenient unified aggregation means that can be used to derive diverse types of summaries. The results obtained confirm a high human consistency of linguistic summaries derived.
Original languageEnglish
Title of host publicationProceedings of the FUZZ-IEEE 2007 IEEE International Conference on Fuzzy Systems
PublisherIEEE Press
Pages467-472
Number of pages6
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007) - London, United Kingdom
Duration: 23 Jul 200726 Jul 2007

Conference

Conference2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007)
Abbreviated titleFUZZ-IEEE 2007
CountryUnited Kingdom
CityLondon
Period23/07/0726/07/07

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