Orthopairs (pairs of disjoint sets) have points in common with many approaches to
managing vaguness/uncertainty such as fuzzy sets, rough sets, soft sets, etc. Indeed, they …

This research work contributes significantly to the current information field by offering an
innovative model named the T-spherical fuzzy hypersoft (T-SFHS) set (T-SFHSS). This …

Many models of uncertain knowledge have been designed that combine expanded views of
fuzziness (expressions of partial memberships) with parameterization (multiple subsethood …

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

Most real-life complex decision-making situations involve the simultaneous expressions of
numerous competing criteria and alternatives, as well as the possibility of inaccurate and …

In several practical decision procedures, it is not accessible to denote assessments by a
single crisp number due to a lack of information. However, representing information by an …

Abstract q-Rung orthopair fuzzy soft sets are a blend of recently developed q-rung orthopair
fuzzy sets and soft sets which has got many advantages over similar structures such as …

The interval-valued q-rung orthopair fuzzy sets and soft sets are two different uncertainty
theories to cope with incomplete and uncertain information in several real-world multi …

In recent years, q‐rung orthopair fuzzy sets have been appeared to deal with an increase in
the value of q> 1, which allows obtaining membership and nonmembership grades from a …

In many real-life problems, decision-making is reckoned as a powerful tool to manipulate the
data involving imprecise and vague information. To fix the mathematical problems …