Multiple attribute group decision‐making based on order‐α divergence and entropy measures under q‐rung orthopair fuzzy environment
R Verma - International Journal of Intelligent Systems, 2020 - Wiley Online Library
The q‐rung orthopair fuzzy set (qROPFS), proposed by Yager, is a more effective and
proficient tool to represent uncertain or vague information in real‐life situations. Divergence …
proficient tool to represent uncertain or vague information in real‐life situations. Divergence …
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 …
Multiple attribute decision‐making method for dealing with heterogeneous relationship among attributes and unknown attribute weight information under q‐rung …
AQ‐rung orthopair fuzzy set (q‐ROFS) originally proposed by Yager (2017) is a new
generalization of orthopair fuzzy sets, which has a larger representation space of acceptable …
generalization of orthopair fuzzy sets, which has a larger representation space of acceptable …
Complex q-rung orthopair fuzzy aggregation operators and their applications in multi-attribute group decision making
In this manuscript, the notions of q-rung orthopair fuzzy sets (q-ROFSs) and complex fuzzy
sets (CFSs) are combined is to propose the complex q-rung orthopair fuzzy sets (Cq-ROFSs) …
sets (CFSs) are combined is to propose the complex q-rung orthopair fuzzy sets (Cq-ROFSs) …
Multi-criteria decision making problem for evaluating ERP system using entropy weighting approach and q-rung orthopair fuzzy TODIM
V Arya, S Kumar - Granular Computing, 2021 - Springer
The q-rung orthopair fuzzy set theory is a flexible tool for dealing with the ambiguity of
human judgements information as compared to the fuzzy, Atanassov intuitionistic fuzzy and …
human judgements information as compared to the fuzzy, Atanassov intuitionistic fuzzy and …
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 …
Information measures for q‐rung orthopair fuzzy sets
X Peng, L Liu - International Journal of Intelligent Systems, 2019 - Wiley Online Library
The q‐rung orthopair fuzzy set (q‐ROFS), originally developed by Yager, is more capable
than that of Pythagorean fuzzy set to deal uncertainty in real life. The main goal of this paper …
than that of Pythagorean fuzzy set to deal uncertainty in real life. The main goal of this paper …
Knowledge measure for the q‐rung orthopair fuzzy sets
The q‐rung orthopair fuzzy set (qROFS) defined by Yager is a generalization of Atanassov
intuitionistic fuzzy set and Pythagorean fuzzy sets. In this paper, we define the knowledge …
intuitionistic fuzzy set and Pythagorean fuzzy sets. In this paper, we define the knowledge …
Extended TODIM method based on VIKOR for q‐rung orthopair fuzzy information measures and their application in MAGDM problem of medical consumption products
V Arya, S Kumar - International Journal of Intelligent Systems, 2021 - Wiley Online Library
Nowadays, supply chain management (SCM) has achieved considerable attention from all
over the world. q‐rung orthopair fuzzy set, developed by Yager, is the entirety of the most …
over the world. q‐rung orthopair fuzzy set, developed by Yager, is the entirety of the most …
Multiattribute group decision making based on neutrality aggregation operators of q-rung orthopair fuzzy sets
Abstract q-rung orthopair fuzzy sets (q-ROFSs) are prominent ideas to express fuzzy data in
decision-making. The q-ROFSs can dynamically adapt the area of evidence by altering the …
decision-making. The q-ROFSs can dynamically adapt the area of evidence by altering the …