This paper reviews the application of metaheuristics for optimized sustainable supply chain
management (SSCM). This paper explores the potential of metaheuristics to improve the …

Circular intuitionistic fuzzy (C-IF) sets are an up-and-coming tool for enforcing indistinct and
imprecise information in variable and convoluted decision-making situations. C-IF sets, as …

The present communication deals with addressing the problem of handling the uncertainties
in the process of green supply chain management system through an integrated approach …

Every field in mathematics has made significant progress in research with fuzzy sets.
Numerous application fields were discovered in both empirical and theoretical …

In addition to membership and non-membership degrees, linear Diophantine fuzzy set
(LDFS) incorporates two reference parameters in fuzzy set definition to represent human …

Green supply chain management is a crucial way to balance economic benefits and
environmental impacts. As an important economic aquatic product in China, sea cucumber …

The rise of the metaverse has ignited a surge of interest among researchers and decision‐
makers, seeking to develop effective virtual commerce (v‐commerce) applications that cater …

Spherical q-linear Diophantine fuzzy sets (Sq-LDFSs) showed a significant improvement to
handling uncertainty in multi-criteria decision-making (MADM). It is advantageous for two …

The theory of spherical linear Diophantine fuzzy sets (SLDFS) boasts several advantages
over existing fuzzy set (FS) theories such as Picture fuzzy sets (PFS), spherical fuzzy sets …

Risk assessments and risk prioritizations are crucial aspects of new product design before a
product is launched into the market. Risk-ranking issues involve the information that is …