J Gao, Z Liang, J Shang, Z Xu - IEEE Transactions on Fuzzy …, 2018 - ieeexplore.ieee.org
Yager's q-rung orthopair fuzzy set (q-ROFS) is a powerful tool to handle uncertainty and vagueness in real life. It expands the spatial scope of membership and nonmembership, and …
C Tian, J Peng, Q Long, J Wang, M Goh - Cognitive Computation, 2022 - Springer
Picture fuzzy numbers (PFNs) with three degrees of memberships can be used to accurately describe the uncertainty of cognitive information. However, picture fuzzy multi-criteria …
M Akram, F Ilyas, H Garg - Applied Intelligence, 2021 - Springer
This article develops a group decision support scheme that extends the widely accepted ELECTRE-II model to the Pythagorean fuzzy (PF) context. ELECTRE-II takes into …
Z Zhang, SM Chen - Information Sciences, 2022 - Elsevier
Pythagorean fuzzy sets (PFSs) become a useful tool to describe the complex cognition of decision makers (DMs). In this paper, Pythagorean fuzzy preference relations (PFPRs) …
In recent decades, there has been a massive growth towards the prime interest of the hydrogen energy industry in automobile transportation fuel. Hydrogen is the most plentiful …
With environmental issues becoming increasingly important worldwide, plenty of enterprises have applied the green supply chain management (GSCM) mode to achieve economic …
J Ali, M Naeem - IEEE Access, 2023 - ieeexplore.ieee.org
The, q-quasirung orthopair fuzzy set (,-ROFS) is a potent tool for representing fuzziness and uncertainty compared to the-rung orthopair fuzzy set (-ROFS). This research aims to …
SH Gurmani, H Chen, Y Bai - Soft Computing, 2022 - Springer
The operations proposed by Dombi based on t-norn (TN) and t-corom (TCN) are generally known as Dombi operations, which offer versatility in the working behavior of parameters …
Interval-valued intuitionistic fuzzy sets (IVIFSs) are proven to be the fastest growing research area and are more flexible way to handle the uncertainty. Information measures play vital …