In the realm of medical diagnosis, intuitionistic fuzzy data serves as a valuable tool for
representing information that is uncertain and imprecise. Nevertheless, decision-making …

For choosing the optimal option for multiple issues, the multiattribute decision-making
(MADM) technique within a Fermatean fuzzy environment is a well-known and significant …

In this paper, firstly, we propose two new GTHFNs-prioritized aggregation operators called
generalized trapezoidal hesitant fuzzy number prioritized weighted average operator and …

The Decision-Theoretic Rough Set model stands as a compelling advancement in the realm
of rough sets, offering a broader scope of applicability. This approach, deeply rooted in …

The concept of q-rung orthopair hesitant fuzzy set represents an advancement and
extension of hesitant fuzzy sets, encompassing both fuzzy sets and q-rung orthopair fuzzy …

The dominance-based rough set approach is crucial to the advancement of rough set theory.
It gives a more thorough and adaptable framework for knowledge acquisition, information …

Intuitionistic hesitant fuzzy sets, which enable the representation of an element's
membership and non-membership as a set of multiple possible values, offer significant utility …

The importance of a comprehensive assessment of swimmers' specific abilities lies in
offering both athletes and coaches a scientific and all-encompassing evaluation framework …

The quality evaluation of university general education courses is a process that
comprehensively assesses aspects such as teaching effectiveness, content design, teacher …

The evaluation of teaching effectiveness in college business English courses focuses on
enhancing students' language skills, applying business knowledge, cross-cultural …