bibtype J - Journal Article
ARLID 0537232
utime 20240103225102.4
mtime 20210111235959.9
SCOPUS 85079659019
WOS 000658338600006
DOI 10.1109/TFUZZ.2020.2975146
title (primary) (eng) A general omitting types theorem in mathematical fuzzy logic
specification
page_count 9 s.
media_type P
serial
ARLID cav_un_epca*0253234
ISSN 1063-6706
title IEEE Transactions on Fuzzy Systems
volume_id 29
volume 6 (2021)
page_num 1386-1394
publisher
name Institute of Electrical and Electronics Engineers
keyword mathematical fuzzy logic
keyword omitting types theorem
keyword first-order fuzzy logics
keyword uninorms
keyword weighted structures
author (primary)
ARLID cav_un_auth*0382241
name1 Badia
name2 G.
country AU
share 50
author
ARLID cav_un_auth*0293476
name1 Noguera
name2 Carles
institution UTIA-B
full_dept (cz) Matematická teorie rozhodování
full_dept Department of Decision Making Theory
department (cz) MTR
department MTR
full_dept Department of Decision Making Theory
share 50
garant A
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2021/MTR/noguera-0537232.pdf
source
url https://ieeexplore.ieee.org/document/9003263
cas_special
project
project_id GA17-04630S
agency GA ČR
ARLID cav_un_auth*0349495
abstract (eng) This paper is a contribution to the theoretical study of weighted structures in fuzzy logic. We consider an important item from classical model theory: the construction of models that do not have any collection satisfying certain prescribed properties, that is, an omitting types theorem. We generalize the work done by Cintula and Diaconescu (Omitting Types Theorem for Fuzzy Logics, IEEE Transactions on Fuzzy Systems 27(2):273-277, 2019), who solved the problem for standard one-sided types. Instead, we introduce types for fuzzy structures as pairs of sets of formulas with free variables (expressing, respectively, properties to be satisfied and those to be avoided) and prove the corresponding omitting types theorem in the framework of uninorm-based logics.
result_subspec WOS
RIV BA
FORD0 10000
FORD1 10100
FORD2 10102
reportyear 2022
num_of_auth 2
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0315002
confidential S
mrcbC86 3+4 Article Computer Science Artificial Intelligence|Engineering Electrical Electronic
mrcbC91 C
mrcbT16-e COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC
mrcbT16-j 2.174
mrcbT16-s 4.080
mrcbT16-D Q1*
mrcbT16-E Q1*
arlyear 2021
mrcbU14 85079659019 SCOPUS
mrcbU24 PUBMED
mrcbU34 000658338600006 WOS
mrcbU63 cav_un_epca*0253234 IEEE Transactions on Fuzzy Systems 1063-6706 1941-0034 Roč. 29 č. 6 2021 1386 1394 Institute of Electrical and Electronics Engineers