The entire computing paradigm is changed due to the technological advancements in
Information and Communication Technology (ICT). Due to these advancements, various …

As technology and digitization grows, there is a huge surge in digital storage of health
records. Machine learning has an important role in uncovering patterns existing in these …

Stroke is enlisted as one of the leading causes of death and serious disability affecting
millions of human lives across the world with high possibilities of becoming an epidemic in …

The intelligent healthcare management is of great concern to mobilize the enthusiasm of
individuals and groups, and effectively use limited resources to achieve maximum health …

Many real world decision making problems often involve uncertainty data, which mainly
originating from incomplete data and imprecise decision. The soft set theory as a …

Transportation strategy decision-making process using interval-valued complex fuzzy soft
information Page 1 AIMS Mathematics, 8(2): 3606–3633. DOI: 10.3934/math.2023182 Received …

Soft set theory was introduced by Molodtsov to handle uncertainty. It uses a family of subsets
associated with each parameter. Hybrid models have been found to be more useful than the …

Hypersoft set (HSS) is one of the recent topics developed by Smarandache in 2018 to be
presented by replacing the single attribute function, used in soft set (SS), with a multi …

Soft set theory introduced by Molodtsov is a new mathematical approach to handle the
uncertainty problems. It is a family of subsets associated with each parameter in a soft …

Interval-valued fuzzy hypersoft set (IVFHSS) is considered a pertinent fuzzy set-like model
that is the combination of an interval-valued fuzzy set and a hypersoft set. It is more flexible …