bibtype |
J -
Journal Article
|
ARLID |
0394660 |
utime |
20240103202800.4 |
mtime |
20130819235959.9 |
WOS |
000322428100007 |
DOI |
10.1016/j.knosys.2013.04.016 |
title
(primary) (eng) |
Useful tools for non-linear systems: Several non-linear integral inequalities |
specification |
page_count |
8 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0257173 |
ISSN |
0950-7051 |
title
|
Knowledge-Based System |
volume_id |
49 |
volume |
1 (2013) |
page_num |
73-80 |
publisher |
|
|
keyword |
Monotone measure |
keyword |
Comonotone functions |
keyword |
Integral inequalities |
keyword |
Universal integral |
author
(primary) |
ARLID |
cav_un_auth*0261431 |
name1 |
Agahi |
name2 |
H. |
country |
IR |
|
author
|
ARLID |
cav_un_auth*0283606 |
name1 |
Mohammadpour |
name2 |
A. |
country |
IR |
|
author
|
ARLID |
cav_un_auth*0101163 |
name1 |
Mesiar |
name2 |
Radko |
full_dept (cz) |
Ekonometrie |
full_dept |
Department of Econometrics |
department (cz) |
E |
department |
E |
institution |
UTIA-B |
full_dept |
Department of Econometrics |
garant |
G |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0283607 |
name1 |
Vaezpour |
name2 |
M. S. |
country |
IR |
|
source |
|
cas_special |
project |
project_id |
GAP402/11/0378 |
agency |
GA ČR |
ARLID |
cav_un_auth*0273630 |
|
abstract
(eng) |
Integral inequalities play important roles in classical probability and measure theory. Universal integrals provide a useful tool in many problems in engineering and non-linear systems where the aggregation of data is required. We discuss several inequalities including Hardy, Berwald, Barnes–Godunova–Levin, Markov and Chebyshev for a monotone measure-based universal integral. Some recent results are obtained as corollaries. Finally, we provide some applications of our results in intelligent decision support systems, estimation and information fusion. |
reportyear |
2014 |
RIV |
BA |
num_of_auth |
4 |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0222933 |
mrcbT16-e |
COMPUTERSCIENCEARTIFICIALINTELLIGENCE |
mrcbT16-f |
2.920 |
mrcbT16-g |
0.573 |
mrcbT16-h |
3.0 |
mrcbT16-i |
0.00667 |
mrcbT16-j |
0.603 |
mrcbT16-k |
2629 |
mrcbT16-l |
295 |
mrcbT16-s |
1.563 |
mrcbT16-z |
ScienceCitationIndex |
mrcbT16-4 |
Q1 |
mrcbT16-B |
59.074 |
mrcbT16-C |
88.017 |
mrcbT16-D |
Q2 |
mrcbT16-E |
Q1 |
arlyear |
2013 |
mrcbU34 |
000322428100007 WOS |
mrcbU63 |
cav_un_epca*0257173 Knowledge-Based System 0950-7051 1872-7409 Roč. 49 č. 1 2013 73 80 Elsevier |
|