The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Group Decision-Making Technique for Risk Assessment of Corporate Financial Management Under Probability Hesitant Fuzzy Sets
|
|
Author(s): Xueqing Liu (Tianjin University of Science and Technology, China), Sirui Wang (Tianjin University of Science and Technology, China), Siyu Wang (Nankai University, China)and Yong Lei (Changsha Normal University, China)
Copyright: 2025
Volume: 17
Issue: 1
Pages: 18
Source title:
International Journal of Decision Support System Technology (IJDSST)
Editor(s)-in-Chief: Shaofeng Liu (University of Plymouth, United Kingdom)
DOI: 10.4018/IJDSST.371414
Purchase
|
Abstract
Corporate financial management risk evaluation is the process of identifying, analyzing, and assessing potential risks that may impact a company's financial stability and performance. It involves examining areas such as liquidity risk, credit risk, market risk, and operational risk. The risk assessment of corporate financial management is MAGDM. The probabilistic hesitant fuzzy sets (PHFSs) are used as a tool for characterizing uncertain data during the risk assessment of corporate financial management. In this paper, we extend the grey relational analysis (GRA) approach to the probabilistic hesitant fuzzy MAGDM with incompletely known weight information. Then, the attribute weight values are obtained through GRA approach and single objective optimization model. Then, probabilistic hesitant fuzzy GRA (PHF-GRA) approach is built for MAGDM under PHFSs. Finally, a practical study for risk assessment of corporate financial management is designed to validate the proposed approach and some comparative studies are also designed to verify the applicability.
Related Content
|
Fei Wang, Zetao Li, Honggao Man, Jianhua Du.
© 2025.
24 pages.
|
|
Jinsu Ma, Liwu Pan.
© 2025.
23 pages.
|
|
Zilong Wang, Hechang Cai.
© 2025.
29 pages.
|
|
Hongzhi Zhao, Fengqiang Zhang.
© 2025.
24 pages.
|
|
Ni Zhong, Ming Yu Cheng, Sheik Kyin Tey, Kuk Fai Fok.
© 2025.
22 pages.
|
|
Xueqing Liu, Sirui Wang, Siyu Wang, Yong Lei.
© 2025.
18 pages.
|
|
Rui Chen, Xiaochen Su.
© 2025.
15 pages.
|
|
|