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Record type:	stať ve sborníku (D)
Home Department:	Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:	Measuring the Temporal Stability of Fuzzy Linguistic Summaries about Time Series with Drifts
Citace	Ostrowski, M., Kaczmarek-Majer, K. a Hryniewicz, O. Measuring the Temporal Stability of Fuzzy Linguistic Summaries about Time Series with Drifts. In: The Eighteenth International Conference on Fuzzy Set Theory and Applications (FSTA 2026): Proceedings of The Eighteenth International Conference on Fuzzy Set Theory and Applications 2026-01-25 Liptovský Ján. Ostrava: University of Ostrava, 2026. s. 86-89. ISBN 978-80-7599-515-5.

Subtitle
Publication year:	2026
Obor:
Number of pages:	4
Page from:	86
Page to:	89
Form of publication:	Elektronická verze
ISBN code:	978-80-7599-515-5
ISSN code:
Proceedings title:	Proceedings of The Eighteenth International Conference on Fuzzy Set Theory and Applications
Proceedings:	Mezinárodní
Publisher name:	University of Ostrava
Place of publishing:	Ostrava
Country of Publication:	Sborník vydaný v ČR
Název konference:	The Eighteenth International Conference on Fuzzy Set Theory and Applications (FSTA 2026)
Conference venue:	Liptovský Ján
Datum zahájení konference:
Typ akce podle státní příslušnosti účastníků:	Celosvětová akce
WoS code:
EID:

Key words in English:	fuzzy linguistic summaries; natural language; time series
Annotation in original language:	We thoroughly analyse the stability of sequences of FLSs with various quantifiers and various drifts, aiming to identify patterns between the statistical properties in observed multivariate time series and the calculated stability indexes. The secondary goal is to characterise the group of fuzzy linguistic summaries that may serve as promising explanations of changes detected in the original time series.
Annotation in english language:	We thoroughly analyse the stability of sequences of FLSs with various quantifiers and various drifts, aiming to identify patterns between the statistical properties in observed multivariate time series and the calculated stability indexes. The secondary goal is to characterise the group of fuzzy linguistic summaries that may serve as promising explanations of changes detected in the original time series.

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