Fuzzy dynamic MCDM method based on PRSRV for financial risk evaluation of new energy vehicle industry
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 …
popularization of NEVs, to encourage more investment into the NEV industry, and to …
Fuzzy decision making method based on CoCoSo with critic for financial risk evaluation
X Peng, H Huang - Technological and Economic Development of …, 2020 - jest.vgtu.lt
The financial risk evaluation is critically vital for enterprises to identify the potential financial
risks, provide decision basis for financial risk management, and prevent and reduce risk …
risks, provide decision basis for financial risk management, and prevent and reduce risk …
Investigation of multiple heterogeneous relationships using a q-rung orthopair fuzzy multi-criteria decision algorithm
Q-rung orthopair fuzzy (q-ROF) set is one of the powerful tools for handling the uncertain
multi-criteria decision-making (MCDM) problems, various MCDM methods under q-ROF …
multi-criteria decision-making (MCDM) problems, various MCDM methods under q-ROF …
Q-rung orthopair fuzzy multiple attribute group decision-making method based on normalized bidirectional projection model and generalized knowledge-based …
The q-rung orthopair fuzzy sets (q-ROFSs) can serve as a generalization of intuitionistic
fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). q-ROFSs provide more freedom for …
fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). q-ROFSs provide more freedom for …
Multi-attribute decision making based on the q-rung orthopair fuzzy Yager power weighted geometric aggregation operator of q-rung orthopair fuzzy values
C Dhankhar, K Kumar - Granular Computing, 2023 - Springer
The power geometric (PG) operator has the significant advantage of reducing the effects of
the incorrect information given by the biased experts. Therefore, in this paper, we propose …
the incorrect information given by the biased experts. Therefore, in this paper, we propose …
Solving green supplier selection problem using q-rung orthopair fuzzy-based decision framework with unknown weight information
R Krishankumar, Y Gowtham, I Ahmed… - Applied Soft …, 2020 - Elsevier
As a powerful generalization to intuitionistic fuzzy set (IFS), q-rung orthopair fuzzy set (q-
ROFS) is proposed by Yager, which can effectively mitigate the weakness of IFS and provide …
ROFS) is proposed by Yager, which can effectively mitigate the weakness of IFS and provide …
q-ROF-SIR methods and their applications to multiple attribute decision making
H Zhu, J Zhao, H Li - International Journal of Machine Learning and …, 2022 - Springer
Abstract q-rung orthopair fuzzy set (q-ROFS) is a useful tool to express uncertain
information. With the parameter q increasing, q-ROFSs have broader space for describing …
information. With the parameter q increasing, q-ROFSs have broader space for describing …
Q-rung orthopair fuzzy weighted induced logarithmic distance measures and their application in multiple attribute decision making
S Zeng, Y Hu, X Xie - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
As a more flexible and practical approach than the Pythagorean fuzzy set and intuitionistic
fuzzy set, the q-rung orthopair fuzzy set (q-ROFS) has been widely used to express …
fuzzy set, the q-rung orthopair fuzzy set (q-ROFS) has been widely used to express …
Norm-based distance measure of q-rung orthopair fuzzy sets and its application in decision-making
J Ali - Computational and Applied Mathematics, 2023 - Springer
A q-rung orthopair fuzzy (q-ROF) set (q-ROFS) is one of the advanced fuzzy sets capable of
processing complex real-world information satisfactorily. q-ROF distance measures are used …
processing complex real-world information satisfactorily. q-ROF distance measures are used …
Novel q-rung orthopair fuzzy interaction aggregation operators and their application to low-carbon green supply chain management
The low-carbon supply chain management is big a challenge for the researchers due to the
rapid increase in global warming and environmental concerns. With the advancement of the …
rapid increase in global warming and environmental concerns. With the advancement of the …