A method to multi-attribute group decision-making problem with complex q-rung orthopair linguistic information based on heronian mean operators
The notions of complex q-rung orthopair fuzzy sets (Cq-ROFSs) and linguistic sets (LSs) are
two different concepts to deal with uncertain information in multi-attribute group decision …
two different concepts to deal with uncertain information in multi-attribute group decision …
[PDF][PDF] Some q-rung orthopair linguistic Heronian mean operators with their application to multi-attribute group decision making
The recently proposed q-rung orthopair fuzzy set (q-ROFS) characterized by a membership
degree and a non-membership degree is powerful tool for handling uncertainty and …
degree and a non-membership degree is powerful tool for handling uncertainty and …
Some q‐rung orthopair fuzzy 2‐tuple linguistic Muirhead mean aggregation operators and their applications to multiple‐attribute group decision making
Y Ju, A Wang, J Ma, H Gao… - … Journal of Intelligent …, 2020 - Wiley Online Library
Multiple‐attribute group decision making (MAGDM) under linguistic environment is an
important part of modern decision sciences, and information aggregation operator plays an …
important part of modern decision sciences, and information aggregation operator plays an …
[HTML][HTML] A Novel Approach to Multi-Attribute Group Decision-Making with q-Rung Picture Linguistic Information
The proposed q-rung orthopair fuzzy set (q-ROFS) and picture fuzzy set (PIFS) are two
powerful tools for depicting fuzziness and uncertainty. This paper proposes a new tool …
powerful tools for depicting fuzziness and uncertainty. This paper proposes a new tool …
Complex q-rung orthopair fuzzy 2-tuple linguistic group decision-making framework with Muirhead mean operators
In this study, we aim to develop a method for solving multi-attribute group decision-making
(MAGDM) problems with complex q-rung orthopair fuzzy 2-tuple linguistic sets. First, a …
(MAGDM) problems with complex q-rung orthopair fuzzy 2-tuple linguistic sets. First, a …
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 …
Multi-attribute decision making method based on generalized maclaurin symmetric mean aggregation operators for probabilistic linguistic information
P Liu, Y Li - Computers & Industrial Engineering, 2019 - Elsevier
The generalized Maclaurin symmetric mean (GMSM) operator not only can consider the
interrelationship among the multi-input arguments, but also can be flexibly converted to …
interrelationship among the multi-input arguments, but also can be flexibly converted to …
Linguistic q‐rung orthopair fuzzy sets and their interactional partitioned Heronian mean aggregation operators
M Lin, X Li, L Chen - International Journal of Intelligent Systems, 2020 - Wiley Online Library
The linguistic intuitionistic fuzzy sets (LIFSs) and linguistic Pythagorean fuzzy sets (LPFSs)
are two linguistic orthopair fuzzy sets whose membership grades are pairs of linguistic terms …
are two linguistic orthopair fuzzy sets whose membership grades are pairs of linguistic terms …
Some q‐rung orthopair fuzzy Heronian mean operators in multiple attribute decision making
The generalized Heronian mean and geometric Heronian mean operators provide two
aggregation operators that consider the interdependent phenomena among the aggregated …
aggregation operators that consider the interdependent phenomena among the aggregated …
Some q‐rung orthopair uncertain linguistic aggregation operators and their application to multiple attribute group decision making
Z Liu, H Xu, Y Yu, J Li - International Journal of Intelligent …, 2019 - Wiley Online Library
Abstract q‐Rung orthopair fuzzy sets (q‐ROFSs), originally presented by Yager, are a
powerful fuzzy information representation model, which generalize the classical intuitionistic …
powerful fuzzy information representation model, which generalize the classical intuitionistic …