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 …
Some generalized q‐rung orthopair fuzzy Einstein interactive geometric aggregation operators with improved operational laws
The q‐rung orthopair sets (q‐ROFSs) is an extended version of conventional orthopair fuzzy
sets, such as intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). The most …
sets, such as intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). 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 …
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) …
Multiple attribute group decision making based on q‐rung orthopair fuzzy Heronian mean operators
The q‐rung orthopair set (q‐ROFSs) can serve as a generalization of the existing orthopair
fuzzy sets, including intuitionistic fuzzy sets and Pythagorean fuzzy sets. The most desirable …
fuzzy sets, including intuitionistic fuzzy sets and Pythagorean fuzzy sets. The most desirable …
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 …
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 …
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 …
A novel approach to multi‐attribute group decision making based on power neutrality aggregation operator for q‐rung orthopair fuzzy sets
SB Aydemir, SY Gunduz - International Journal of Intelligent …, 2021 - Wiley Online Library
In this paper, based on power aggregation (PA) operators, neutrality average and neutrality
geometric aggregation operators are proposed. Furthermore, a general score function for q …
geometric aggregation operators are proposed. Furthermore, a general score function for q …
Extensions of prioritized weighted aggregation operators for decision-making under complex q-rung orthopair fuzzy information
The complex q-rung orthopair fuzzy set (Cq-ROFS), an efficient generalization of complex
intuitionistic fuzzy set (CIFS) and complex Pythagorean fuzzy set (CPFS), is potent tool to …
intuitionistic fuzzy set (CIFS) and complex Pythagorean fuzzy set (CPFS), is potent tool to …