Multiple-attribute group decision-making based on q-rung orthopair fuzzy power maclaurin symmetric mean operators

P Liu, SM Chen, P Wang - IEEE Transactions on Systems, Man …, 2018 - ieeexplore.ieee.org
To be able to describe more complex fuzzy uncertainty information effectively, the concept of
q-rung orthopair fuzzy sets (q-ROFSs) was first proposed by Yager. The q-ROFSs can …

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 …

CN‐‐ROFS: Connection number‐based q‐rung orthopair fuzzy set and their application to decision‐making process

H Garg - International Journal of Intelligent Systems, 2021 - Wiley Online Library
The aim of the paper is to introduce a novel concept of connection number‐based q‐rung
orthopair fuzzy set (CN‐q‐ROFS) and thus to develop a method for solving the multiattribute …

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 …

[HTML][HTML] Maximizing deviation method for multiple attribute decision making under q-rung orthopair fuzzy environment

J Wang, G Wei, C Wei, J Wu - Defence Technology, 2020 - Elsevier
Because of the uncertainty and subjectivity of decision makers in the complex decision-
making environment, the evaluation information of alternatives given by decision makers is …

New q‐rung orthopair fuzzy partitioned Bonferroni mean operators and their application in multiple attribute decision making

W Yang, Y Pang - International Journal of Intelligent Systems, 2019 - Wiley Online Library
The q‐rung orthopair fuzzy sets are superior to intuitionistic fuzzy sets or Pythagorean fuzzy
sets in expressing fuzzy and uncertain information. In this paper, some partitioned …

Multiple attribute decision making based on probabilistic generalized orthopair fuzzy sets

F Feng, C Zhang, M Akram, J Zhang - Granular Computing, 2023 - Springer
The advent of Yager's generalized orthopair fuzzy sets (also called q-rung orthopair fuzzy
sets) has brought more possibilities to accomplish the challenging task of modelling …

Multi-attribute decision making using q-rung orthopair fuzzy weighted fairly aggregation operators

A Saha, P Majumder, D Dutta, BK Debnath - Journal of Ambient …, 2021 - Springer
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 …

Complex q-Rung Orthopair Fuzzy Aczel–Alsina aggregation operators and its application to multiple criteria decision-making with unknown weight information

J Ali, M Naeem - IEEE Access, 2022 - ieeexplore.ieee.org
In decision making problems, complex q-rung orthopair fuzzy set is regarded as a more
practical tool than complex intuitionistic fuzzy set and q-rung orthopair fuzzy set. This paper …

Multiattribute group decision making based on neutrality aggregation operators of q-rung orthopair fuzzy sets

H Garg, SM Chen - Information Sciences, 2020 - Elsevier
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 …