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Record type:	stať ve sborníku (D)
Home Department:	Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:	Aggregation Through Composition: Unification of Three Principal Fuzzy Theories
Citace	Perfiljeva, I., Singh, A. P. a Tiwari, S. P. Aggregation Through Composition: Unification of Three Principal Fuzzy Theories. In: AGOP 2019: Advances in Intelligent Systems and Computing 2019-07-01 Olomouc. Cham: Springer, 2019. s. 63-74. ISBN 978-3-030-19493-2.

Subtitle
Publication year:	2019
Obor:
Number of pages:	12
Page from:	63
Page to:	74
Form of publication:	Tištená verze
ISBN code:	978-3-030-19493-2
ISSN code:
Proceedings title:	Advances in Intelligent Systems and Computing
Proceedings:
Publisher name:	Springer
Place of publishing:	Cham
Country of Publication:
Název konference:	AGOP 2019
Místo konání konference:	Olomouc
Datum zahájení konference:
Typ akce podle státní příslušnosti účastníků:	Celosvětová akce
WoS code:	000494451000006
EID:	2-s2.0-85068976069

Key words in English:	Fuzzy relation; Fuzzy rough set; F-transform; Fuzzy automata
Annotation in original language:	This paper shows that the theories of fuzzy rough sets, F-transforms and fuzzy automata can be unified in the framework of fuzzy relational structures. Specifically, the key concepts in such theories are represented as lattice-based aggregations in the form of compositions with suitable fuzzy relations. Furthermore, it is shown that the principal parts of morphisms between all considered fuzzy relational structures coincide.
Annotation in english language:

References

Reference

R01:	RIV/61988987:17610/19:A2001ZWH

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