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A picture fuzzy multi-attribute decision-making approach based on Hamacher Muirhead mean operators
Picture fuzzy set (PFS) concepts are modified versions of fuzzy sets. Picture fuzzy sets cover all aspects of portraying human opinion accurately. In...
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Optimal airport selection utilizing power Muirhead mean based group decision model with 2-tuple linguistic q-rung orthopair fuzzy information
The choice of an optimal airport for local businesses for any traveling purpose due to the complexity of the access to the global market could be...
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Power Muirhead mean in spherical normal fuzzy environment and its applications to multi-attribute decision-making
This study aims to propose the power Muirhead mean (PMM) operator in the spherical normal fuzzy sets (SNoFS) environment to solve multiple attribute...
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Power Muirhead mean operators of interval-valued intuitionistic fuzzy values in the framework of Dempster–Shafer theory for multiple criteria decision-making
Multiple criteria decision-making (MCDM) based on interval intuitionistic fuzzy value (IVIFV) is a process of aggregating decision criteria...
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Multiple attribute decision making based on q-rung orthopair fuzzy Hamacher Muirhead mean operators
The q-rung orthopair fuzzy set (q-ROFS) is a generalized orthopair fuzzy set which quantifies vague information comprehensively. The objective of...
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Group decision-making based on bipolar neutrosophic fuzzy prioritized muirhead mean weighted averaging operator
In this paper, the prioritized muirhead mean aggregation operations are used to constructing some bipolar neutrosophic fuzzy (BNF) operators, i.e.,...
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Assessment of Hydropower Plants in Pakistan: Muirhead Mean-Based 2-Tuple Linguistic T-spherical Fuzzy Model Combining SWARA with COPRAS
In the study of group decision-making, the most important issue is how to coordinate opinions from different decision experts (DEs) to reach a...
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A ranking method based on Muirhead mean operator for group decision making with complex interval-valued q-rung orthopair fuzzy numbers
The concept of complex interval-valued q-rung orthopair fuzzy set (CIVq-ROFS) as a generalization of a complex fuzzy set and interval-valued q-rung...
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A novel picture fuzzy linguistic Muirhead Mean aggregation operators and their application to multiple attribute decision making
The Picture fuzzy linguistic set (PFLS) is an extension of the intuitionistic fuzzy set (IFS) and linguistic variables (LVs), which has been applied...
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A Novel Approach for Probabilistic Linguistic Multiple Attribute Decision Making Based on Dual Muirhead Mean Operators and VIKOR
In this study, we concentrate on multiple attribute decision-making (MADM) problems in the probabilistic linguistic preference information...
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Interval Valued q-Rung Orthopair Fuzzy Prioritized Dual Muirhead Mean Operator and Their Application in Group Decision Making
q-rung orthopair fuzzy set (q-ROFS) is a generalization of various fuzzy consepts. As fuzzy set (FS), intuitionistic FS, Pytagorean FS, Fermatean FS....
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A novel multi-attribute decision-making approach based on T-spherical fuzzy Aczel Alsina Heronian mean operators
In the modern era, transportation has also become more expensive due to fluctuations in the prices of fuels and gasses. We demonstrate an efficient...
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q-Rung orthopair fuzzy inequality derived from equality and operation
The q-rung orthopair fuzzy set is an extension of fuzzy set, whose remarkable characteristic is that the sum of q power of membership degree,...
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A novel group decision-making approach based on partitioned Hamy mean operators in q-rung orthopair fuzzy context
In multi-attribute group decision-making (MAGDM), the attributes can be placed into independent groups based on their properties through...
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Partitioned Hamy mean aggregation for multi-criteria group decision-making in the MAIRCA framework with \({\textsf {q}}\)-rung orthopair fuzzy 2-tuple linguistic information
In the context of multi-criteria group decision-making (MCGDM), the process involves categorizing criteria into distinct groups based on their...
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Interaction Power Bonferroni Mean Aggregation Operators Based on T-Spherical Fuzzy Information and Their Application in Multi-attribute Decision Making
T-spherical fuzzy (TSF) set is a suitable technique for depicting uncertain and vague information in real-life problems because it covered the truth,...
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Multi-Attribute Decision-Making Method Based on Complex Interval-Valued q-Rung Orthopair Linguistic Heronian Mean Operators and Their Application
In this manuscript, we firstly proposed a novel concept of complex interval-valued q-rung orthopair linguistic (CIVq-ROL) information by integrating...
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T-spherical uncertain linguistic MARCOS method based on generalized distance and Heronian mean for multi-attribute group decision-making with unknown weight information
The T-spherical uncertain linguistic (TSUL) sets (TSULSs) integrated by T-spherical fuzzy sets and uncertain linguistic variables are introduced in...
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Multiple-attribute decision-making method based on hesitant fuzzy linguistic Muirhead mean aggregation operators
The hesitant fuzzy linguistic (HFL) variable can handle the uncertainty very well, and Muirhead mean (MM) operator can consider correlations among...