Some q-rung orthopair fuzzy point weighted aggregation operators for multi-attribute decision making
Abstract q-Rung orthopair fuzzy sets, originally proposed by Yager, can dynamically adjust
the range of indication of decision information by changing a parameter q based on the …
the range of indication of decision information by changing a parameter q based on the …
Group decision-making analysis based on linguistic q-rung orthopair fuzzy generalized point weighted aggregation operators
The q-rung orthopair fuzzy sets (q-ROFSs), originally proposed by Yager, can express
uncertain data to give decision-makers more space. The q-ROFS is a useful tool for …
uncertain data to give decision-makers more space. The q-ROFS is a useful tool for …
Some q‐rung orthopair fuzzy aggregation operators and their applications to multiple‐attribute decision making
The q‐rung orthopair fuzzy sets (q‐ROFs) are an important way to express uncertain
information, and they are superior to the intuitionistic fuzzy sets and the Pythagorean fuzzy …
information, and they are superior to the intuitionistic fuzzy sets and the Pythagorean fuzzy …
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 …
Multi-attribute decision making using q-rung orthopair fuzzy weighted fairly aggregation operators
In this study, in view of expressing the uncertain information more elegantly, we shall
enlighten the q-rung orthopair fuzzy sets (q-ROFSs) and the q-rung orthopair fuzzy numbers …
enlighten the q-rung orthopair fuzzy sets (q-ROFSs) and the q-rung orthopair fuzzy numbers …
Multiple-Attribute Decision-Making Based on Archimedean Bonferroni Operators of q-Rung Orthopair Fuzzy Numbers
The theory of q-rung orthopair fuzzy sets (q-ROFSs) proposed by Yager effectively describes
fuzzy information in the real world. Because q-ROFSs contain the parameter q and can …
fuzzy information in the real world. Because q-ROFSs contain the parameter q and can …
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 …
Extension of multi-Moora method with some q-rung orthopair fuzzy Dombi prioritized weighted aggregation operators for multi-attribute decision making
SB Aydemir, S Yilmaz Gündüz - Soft Computing, 2020 - Springer
The Dombi operators provide a flexible structure with its adjustable parameter because of
Dombi generalized structure. On the other hand, priority aggregation operators play an …
Dombi generalized structure. On the other hand, priority aggregation operators play an …
A novel trigonometric operation-based q-rung orthopair fuzzy aggregation operator and its fundamental properties
H Garg - Neural Computing and Applications, 2020 - Springer
The q-rung orthopair fuzzy sets (q-ROFSs) are a prominent idea to express the fuzzy
information in the decision-making process and are the generalization of the existing …
information in the decision-making process and are the generalization of the existing …
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) …