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Record type:	stať ve sborníku (D)
Home Department:	Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:	Relational powerset theories
Citace	Močkoř, J. Relational powerset theories. In: ESCIM 2019 - 11th European Symposium on Computational Intelligence and Mathematics: Computational Intelligence and Mathematics for Tackling Complex Problems 2 2019-10-02 Toledo. Cham: Springer, 2022. s. 191-197. ISBN 978-3-030-88816-9.

Subtitle
Publication year:	2022
Obor:	Obecná matematika
Number of pages:	7
Page from:	191
Page to:	197
Form of publication:	Tištená verze
ISBN code:	978-3-030-88816-9
ISSN code:
Proceedings title:	Computational Intelligence and Mathematics for Tackling Complex Problems 2
Proceedings:	Mezinárodní
Publisher name:	Springer
Place of publishing:	Cham
Country of Publication:	Sborník vydaný v zahraničí
Název konference:	ESCIM 2019 - 11th European Symposium on Computational Intelligence and Mathematics
Místo konání konference:	Toledo
Datum zahájení konference:
Typ akce podle státní příslušnosti účastníků:	Evropská akce
WoS code:
EID:	2-s2.0-85124049973

Key words in English:	Category; Fuzzy sets; Powerset theory; Relational structures
Annotation in original language:	For general powerset theories in categories, relational powerset theories in these categories are introduced. These structures are defined as categories whose objects are the original powerset objects with relational structures defined on these objects. This construction generalizes classical relations or fuzzy relations in sets, and it enables to define these relational structures on more general powerset objects, based onlattice-valued fuzzy structures.
Annotation in english language:

References

Reference

R01:	RIV/61988987:17610/22:A2401ZLR

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