X Peng, HH Huang, Z Luo - Applied Soft Computing, 2023 - Elsevier
The financial risk evaluation of new energy vehicle (NEV) industry is conducive to the popularization of NEVs, to encourage more investment into the NEV industry, and to …
L Zhang, F Xiao, Z Cao - Information Sciences, 2023 - Elsevier
Electroencephalography (EEG) provides valuable physiological information to identify human activities. However, it can be difficult to analyze the EEG data in human patterns …
Y Huang, F Xiao - Information Sciences, 2023 - Elsevier
Multi-source information fusion is a sophisticated estimation process that generates a unified profile to assess complex situations. Dempster–Shafer evidence theory (DSET) is a practical …
H He, F Xiao - Information Sciences, 2024 - Elsevier
Dempster's rule of combination (DRC) is widely used for uncertainty reasoning in intelligent information system, which is generalized to complex domain recently. However, as the …
X Yang, F Xiao - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Abstract The Dempster-Shafer (DS) evidence theory, renowned for its efficacy in processing uncertain information, has garnered substantial attention in recent decades. A generalized …
K Kumar, SM Chen - Information Sciences, 2024 - Elsevier
This paper proposes a new approach for multiattribute decision making (MADM) using the proposed q-rung orthopair fuzzy Yager prioritized weighted arithmetic (q-ROFYPWA) …
P Mandal, S Samanta, M Pal, AS Ranadive - Artificial Intelligence Review, 2023 - Springer
In any conflict analysis model, agents are decision-makers (DMs). In reality, the regret psychology of DMs often influence decision outcomes due to uncertain risks. However, the …
J Zeng, F Xiao - Expert Systems with Applications, 2024 - Elsevier
Dempster–Shafer evidence theory (DSET) is extensively employed in multi-source data fusion applications. Nonetheless, when belief probability assignments (BPAs) exhibit …
Y Zhao, Z Zhang, F Xiao - Information Sciences, 2024 - Elsevier
In decision-making systems, conflict management is an important concept that represents the degree of dissimilarity between bodies of evidence, ultimately enhancing decision …