bibtype J - Journal Article
ARLID 0576152
utime 20240402214505.9
mtime 20231005235959.9
SCOPUS 85160863887
WOS 000999732700002
DOI 10.1007/s00500-023-08529-7
title (primary) (eng) New horizon in fuzzy distributions: statistical distributions in continuous domains generated by Choquet integral
specification
page_count 10 s.
media_type P
serial
ARLID cav_un_epca*0258368
ISSN 1432-7643
title Soft Computing
volume_id 27
volume 15 (2023)
page_num 10447-10456
publisher
name Springer
keyword fuzzy measures
keyword Choquet integral
keyword statistical distribution
keyword Gold price
keyword distorted probabilities
keyword fuzzy distribution
author (primary)
ARLID cav_un_auth*0375106
name1 Mehri-Dehnavi
name2 H.
country IR
share 40
garant K
author
ARLID cav_un_auth*0261431
name1 Agahi
name2 H.
country IR
share 30
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 30
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2023/E/mesiar-0576152.pdf
source
url https://link.springer.com/article/10.1007/s00500-023-08529-7
cas_special
abstract (eng) In this paper, some statistical properties of the Choquet integral are discussed. As an interesting application of Choquet integral and fuzzy measures, we introduce a new class of exponential-like distributions related to monotone set functions, called Choquet exponential distributions, by combining the properties of Choquet integral with the exponential distribution. We show some famous statistical distributions such as gamma, logistic, exponential, Rayleigh and other distributions are a special class of Choquet distributions. Then, we show that this new proposed Choquet exponential distribution is better on daily gold price data analysis. Also, a real dataset of the daily number of new infected people to coronavirus in the USA in the period of 2020/02/29 to 2020/10/19 is analyzed. The method presented in this article opens a new horizon for future research.
result_subspec WOS
RIV BA
FORD0 10000
FORD1 10100
FORD2 10101
reportyear 2024
num_of_auth 3
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0346457
confidential S
mrcbC91 C
mrcbT16-e COMPUTERSCIENCEARTIFICIALINTELLIGENCE|COMPUTERSCIENCEINTERDISCIPLINARYAPPLICATIONS
mrcbT16-j 0.56
mrcbT16-s 0.81
mrcbT16-D Q4
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arlyear 2023
mrcbU14 85160863887 SCOPUS
mrcbU24 PUBMED
mrcbU34 000999732700002 WOS
mrcbU63 cav_un_epca*0258368 Soft Computing Roč. 27 č. 15 2023 10447 10456 1432-7643 1433-7479 Springer