Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/212349
Mathematical analysis of big data analytics under bipolar complex fuzzy soft information
Publication Type (CRIS)
Straipsnis Web of Science ir Scopus duomenų bazėje / Article in Web of Science and Scopus database (S1)
Publication Type (eLABa)
Straipsnis Web of Science DB / Web of Science DB article (S1)
VILNIUS TECH Research Priorities and Topics
Fizinių, technologinių ir ekonominių procesų matematiniai modeliai / Mathematical models of physical, technological and economic processes (FM0101)
Lithuanian Intelligent Specialization
Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies (L104)
Author(s)
| Author | Affiliation | ||
|---|---|---|---|
Jan, Naeem | Korea National University of Transportation | ||
Gwak, Jeonghwan | Korea National University of Transportation | ||
National Defence University | Imperial College London | Lebanese American University | |
University of Belgrade | Yuan Ze University | Korea University | |
Title
Mathematical analysis of big data analytics under bipolar complex fuzzy soft information
Naeem Jan, Jeonghwan Gwak, Muhammet Deveci, Vladimir Simic, Jurgita Antuchevičienė
Is part of
Applied soft computing
Published In
| Year | Volume | Issue | Start Page | End Page |
|---|---|---|---|---|
2024 | 157 | 111481 | 1 | 23 |
Publisher
Amsterdam : Elsevier
Publisher (trusted)
Referenced in Database(s)(DBs)
Extent
p. 1-23
URI
| URI | Access Rights |
|---|---|
| https://hdl.handle.net/20.500.14911/212349 | |
| https://www.sciencedirect.com/science/article/pii/S1568494624002552 | Viso teksto dokumentas (prieiga prenumeratoriams) / Full Text Document (Access for Subscribers) |
Cited references
67
Science / Art Area
Technologijos mokslai / Technological sciences (T)
Field of Science / Art
Informatikos inžinerija / Informatics engineering (T007)
Statybos inžinerija / Civil engineering (T002)
Resource Type (COAR)
TextJournalJournal articleResearch article
Language
Anglų / English (en)
Country
Nyderlandai / Netherlands (NL)
Owning collection
ISSN (of the container)
1568-4946
WOS
001223557400001
Scopus
2-s2.0-85188689332
eLABa ID
191424537
Project(s)
Brain Pool program - Ministry of Science and ICT through the National Research Foundation of Korea
Funding(s)
National Research Foundation of Korea |
Ministry of Science, ICT & Future Planning, Republic of Korea |