Fuzzy sets have a great progress in every scientific research area. It found many application
areas in both theoretical and practical studies from engineering area to arts and humanities …

With the demand for knowledge-handling systems capable of dealing with and
distinguishing between various facets of imprecision ever increasing, a clear and formal …

Attribute subset selection is an important issue in data mining and information processing.
However, most automatic methodologies consider only the relevance factor between …

The primitive notions of rough sets and intuitionistic fuzzy set (IFS) are general mathematical
tools having the ability to handle the uncertain and imprecise knowledge easily. EDA …

In this paper, we extend the basic distance measure in picture fuzzy sets to the new
measures called generalized picture distance measures and picture association measures …

Problem-solving in situations of uncertainty is a key issue in achieving effective
computational systems. Various techniques have been developed to address uncertainty …

In rough set theory, the lower and upper approximation operators defined by binary relations
satisfy many interesting properties. Various generalizations of Pawlak's rough …

Considering multi-criteria group decision-making (MCGDM) problems under uncertain
environment, this paper presents a novel concept of intuitionistic fuzzy rough numbers …

Intuitionistic fuzzy rough sets are investigated in a general framework which includes
generalizations of many related results in early literatures. A new definition of intuitionistic …

Pythagorean fuzzy set (PFS) is an extension of the intuitionistic fuzzy set. It has a wider
space of membership degrees. Thus, it is more capable in expressing and handling the …