The future of energy security has become a prominent concern for emerging economies due
to the inevitable depletion of fossil fuels and the ongoing disruptions in their supply. The …

In decision-making scenarios, challenges often arise from closely knitted criteria or inherent
uncertainties. Such uncertainties prominently pervade the realm of sustainable energy …

Decision-making in a vague, undetermined and imprecise environment has been a great
issue in real-life problems. Many mathematical theories like fuzzy, intuitionistic and …

A notable advancement in fuzzy set theory is the q-rung linear diophantine fuzzy set. The
soft set theory was expanded into the hypersoft set theory. By combining both the q-rung …

The correlation between two disparate variables conquers a significant habitation in
statistics. The concept of correlation coefficient (CC) is one of the well-known indicators, but …

A recently emerged area of research named intuitionistic fuzzy hypersoft set (IFHSS)
attempts to describe the internal limitations of intuitionistic fuzzy soft sets on multiparameter …

The textile manufacturing sector plays a vital role in the economic growth of many emerging
economies. Hence, achieving energy efficiency and sustainability is crucial for this sector to …

Abstract q-Rung linear diophantine fuzzy set is a significant extension of fuzzy set theory and
soft set theory was widened into hypersoft set theory. In this manuscript, the conception of q …

A similarity measure is used to tackle many issues that include indistinct and blurred
information, excluding is not able to deal with the general fuzziness and obscurity of the …

Neutrosophic sets can be used to model uncertain data in real-world applications. To
increase the use of complex neutrosophic sets, the space of quaternion numbers is …