Special issue in "Fundamenta Informaticae" on Rough Sets and Fuzzy Sets

Soon we will celebrate the 50th anniversary of Professor Lotfi Zadeh's first publication on fuzzy sets. Rough sets emerged more than 30 years ago as another major mathematical approach for managing uncertainty that arises from inexact, noisy, or incomplete information.
Over the years it was recognized that the two approaches can work nicely as complementary. Many methods based on combination of both approaches were developed, often with a significantly better performance than those obtained by using them separately. The obtained results were published in dedicated books, journal special issues, as well as many regular journal articles and conference papers.
The aim of this special issue is to (i) characterize the state of the art of methods based on combination of fuzzy sets and rough sets, (ii) present new methods based on combination of rough sets and fuzzy sets, (iii) show the future perspectives for such methods, in particular in the face of new challenges emerging nowadays when we are dealing with big data, web of things or cyber-physical systems as well as new computing models. Also papers dedicated to new aspects of comparison of rough sets and fuzzy sets are welcome.