The bipolar fuzzy set and interval-valued bipolar fuzzy set efficiently analyse real-world
problems where for each input of an object, there has counter information. This study's main …

Using the multi-criteria decision-making (MCDM) approach, this research piece addresses
the urgent problems of environmental degradation and climate change. The method …

Supply chain performance signifies the success of countries in material and information flow
within international trade activities. Countries strive to enhance their supply chain …

This study's major purpose is to highlight circular spherical fuzzy sets, that happens to be a
prolongation of spherical fuzzy sets. The primary purpose of this research is to demonstrate …

Neutrosophic sets provide greater versatility in dealing with a variety of uncertainties,
including independent, partially independent, and entirely dependent scenarios, which q …

The transition towards sustainable and eco-friendly transportation modes is a critical step in
alleviating the adverse impacts of climate change and reducing carbon emissions. In this …

This paper presents new averaging operators, such as mpF Einstein weighted averaging
(mpFEWA), mpF Einstein ordered weighted averaging (mpFEOWA), mpF Einstein hybrid …

Every problem in decision-making has a solution when the information that is available is
properly and precisely modeled. This study focuses on non-binary data from N-soft sets and …

Fuzzy set theory is a mathematical method for dealing with uncertainty and imprecision in
decision-making. Some of the challenges and complexities involved in medical diagnosis …

Last mile logistics accounts for a small part of deliveries geographically, but generates
disproportionately high costs, energy consumption, and pollutant emissions. Parcel lockers …