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Record type:	stať ve sborníku (D)
Home Department:	Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:	On the Dissimilarity of Fuzzy Information Granules
Citace	Kaczmarek-Majer, K. a Daňková, M. On the Dissimilarity of Fuzzy Information Granules. In: FSTA 2026: Proceedings of The Eighteenth International Conference on Fuzzy Set Theory and Applications 2026-01-25 Liptovský Ján. Ostrava: Ostravská univerzita, 2026. s. 62-65. ISBN 978-80-7599-515-5.

Subtitle
Publication year:	2026
Obor:
Number of pages:	4
Page from:	62
Page to:	65
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:	Ostravská univerzita
Place of publishing:	Ostrava
Country of Publication:	Sborník vydaný v ČR
Název konference:	FSTA 2026
Conference venue:	Liptovský Ján
Datum zahájení konference:
Typ akce podle státní příslušnosti účastníků:	Celosvětová akce
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Key words in English:	Granular Computing; Dissimilarity; Fuzzy association rules
Annotation in original language:	In this work, we pose the question of how to assess the dissimilarity of pairs of information granules that may be exemplified with I1 and I2. We focus on two representative types of information granules, namely fuzzy association rules (FAR) and fuzzy linguistic summaries, and aim to (1) propose a unified notation for the construction and selection of the most meaningful fuzzy information granules, and (2) analyze and discuss the assessment of dissimilarity across the considered types.
Annotation in english language:	In this work, we pose the question of how to assess the dissimilarity of pairs of information granules that may be exemplified with I1 and I2. We focus on two representative types of information granules, namely fuzzy association rules (FAR) and fuzzy linguistic summaries, and aim to (1) propose a unified notation for the construction and selection of the most meaningful fuzzy information granules, and (2) analyze and discuss the assessment of dissimilarity across the considered types.

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