bibtype J - Journal Article
ARLID 0576069
utime 20240903190029.0
mtime 20231003235959.9
SCOPUS 85151394545
WOS 000960543600001
DOI 10.3390/math11061329
title (primary) (eng) Applications of Special Functions to Approximate Stochastic Bi-Homomorphisms and Stochastic Bi-Derivations in FB-Algebras and FC-⋄-Algebras of the Matrix Type
specification
page_count 21 s.
media_type E
serial
ARLID cav_un_epca*0453601
ISSN 2227-7390
title Mathematics
volume_id 11
publisher
name MDPI
keyword C-⋄-algebras
keyword FB-algebra
keyword fuzzy inequality
keyword optimal stability
keyword stochastic bi-derivation
keyword stochastic bi-homomorphism
author (primary)
ARLID cav_un_auth*0455747
name1 Eidinejad
name2 Z.
country IR
share 25
author
ARLID cav_un_auth*0434048
name1 Saadati
name2 R.
country IR
share 25
garant K
author
ARLID cav_un_auth*0101163
name1 Mesiar
name2 Radko
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
full_dept Department of Econometrics
share 25
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0455749
name1 Raja
name2 P.
country IR
share 25
responsibility X
source
url http://library.utia.cas.cz/separaty/2023/E/mesiar-0576069.pdf
cas_special
abstract (eng) We apply special functions and use the concept of the aggregation function to introduce a new class of fuzzy control functions, and based on this, we obtain the best approximation for the stochastic bi-homomorphisms and stochastic bi-derivations in FB-algebras and FC-⋄-algebras of matrix type associated with the bi-additive random operator inequality.
result_subspec WOS
RIV BA
FORD0 10000
FORD1 10100
FORD2 10101
reportyear 2024
num_of_auth 4
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0346452
confidential S
article_num 1329
mrcbC91 A
mrcbT16-e MATHEMATICS
mrcbT16-j 0.374
mrcbT16-s 0.475
mrcbT16-D Q3
mrcbT16-E Q3
arlyear 2023
mrcbU14 85151394545 SCOPUS
mrcbU24 PUBMED
mrcbU34 000960543600001 WOS
mrcbU63 cav_un_epca*0453601 Mathematics 2227-7390 2227-7390 Roč. 11 č. 6 2023 MDPI ONLINE