With respect to intuitionistic fuzzy multiple attribute decision making problems with
completely unknown weight information, some operational laws of intuitionistic fuzzy …

Fuzzy logic systems (FLSs) are proper tools for learning and predicting of real-world
problems. Type-2 fuzzy sets are developments of the conventional type-1 fuzzy sets which …

The concept of fuzzy number intuitionistic fuzzy sets (FNIFSs) is designed to effectively
depict uncertain information in decision making problems which fundamental characteristic …

The development level evaluation of regional rural practical talents needs to
comprehensively consider a variety of factors. The general development level of rural …

In contemporary information fusion theory, the Maclaurin symmetric mean (MSM) operator is
a traditional mean type aggregation operator (AO) that is an appropriate-able technique for …

These days, the appraisal of the COVID-19 vulnerability has become a difficult errand for the
whole world. The COVID-19 administration dynamic issue frequently includes numerous …

In view of the present situation that most aggregation methods of fuzzy preference
information are extended or mixed by classical aggregation operators, which leads to the …

The interval neutrosophic set (INS) can make it easier to articulate incomplete,
indeterminate, and inconsistent information, and the Schweizer-Sklar (Sh-Sk) t-norm (tm) …

The Pythagorean fuzzy set is an extension of the traditional fuzzy set which offers an
effective approach to addressing the complex uncertainty in decision-analysis processes …

The recently proposed q-rung dual hesitant fuzzy sets (q-RDHFSs) not only deal with
decision makers'(DMs') hesitancy and uncertainty when evaluating the performance of …