Pythagorean fuzzy set, generalized by Yager, is a new tool to deal with vagueness
considering the membership grade μ μ and non-membership ν ν satisfying the condition μ …

In many real-life decision making (DM) situations, the available information is vague or
imprecise. To adequately solve decision problems with vague or imprecise information …

The power Bonferroni mean (PBM) operator can relieve the influence of unreasonable
aggregation values and also capture the interrelationship among the input arguments, which …

A useful expansion of the intuitionistic fuzzy set (IFS) for dealing with ambiguities in
information is the Pythagorean fuzzy set (PFS), which is one of the most frequently used …

Spherical fuzzy sets (SFSs) are a new extension of Cuong's picture fuzzy sets (PFSs). In
SFSs, membership degrees satisfy the condition instead of as is in PFSs. In the present …

The linear Diophantine fuzzy set (LDFS) has been proved to be an efficient tool in
expressing decision maker (DM) evaluation values in multicriteria decision‐making (MCDM) …

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 …

The interaction between two factors significantly measures the results' exactness. But,
acquiring information for statistical computation is frequent, and the data obtained could be …

The selection of a reliable and competent transportation company is a typical multi-criteria
group decision-making (MCGDM) challenge in supply chain management. MCGDM has …

Linguistic q‐rung orthopair fuzzy numbers (Lq‐ROFNs) are a qualitative form of q‐rung
orthopair fuzzy numbers (q‐ROFNs) where the membership and nonmembership degrees …