Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering

Saved in:
Bibliographic Details
Main Author: Xini Fang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11896059/?tool=EBI
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849773925306728448
author Xini Fang
author_facet Xini Fang
author_sort Xini Fang
collection DOAJ
format Article
id doaj-art-961e63df064d48d5ac6c43e12d5d5d2b
institution DOAJ
issn 1932-6203
language English
publishDate 2025-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-961e63df064d48d5ac6c43e12d5d5d2b2025-08-20T03:01:54ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01203Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clusteringXini Fanghttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11896059/?tool=EBI
spellingShingle Xini Fang
Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering
PLoS ONE
title Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering
title_full Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering
title_fullStr Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering
title_full_unstemmed Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering
title_short Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering
title_sort early warning strategies for corporate operational risk a study by an improved random forest algorithm using fcm clustering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11896059/?tool=EBI
work_keys_str_mv AT xinifang earlywarningstrategiesforcorporateoperationalriskastudybyanimprovedrandomforestalgorithmusingfcmclustering