Abstract: By using one direction S-rough sets (one direction singular rough sets), the f-attribute interference generation and separation of knowledge, ...

S-rough sets have dynamic characteristic. Using S-rough sets and the (f, fmacr)-attribute transfer dependence, the concepts of inner mining degree and outer ...

Singular rough sets (S-rough sets) have three forms; one direction S-rough sets, dual of one direction S-rough sets and two direction S-rough sets.

The original rough set approach proved to be very useful in dealing with inconsistency problems following from information granulation.

Abstract. We study the Rough Set theory as a method of feature se- lection based on tolerant classes that extends the existing equivalent classes.

Jan 12, 2022 · Abstract—This paper presents a strong data mining method based on the rough set, which can realize feature selection,.

Abstract. Inconsistency, lacking values of attributes or parameters, as well as discrepancies between records caused by insufficient precision cannot always ...

A Rough Fuzzy Set is defined as a set that combines fuzzy logic with rough set theory to handle uncertainty in information by capturing vagueness and ...

Oct 29, 2017 · Fuzzy-rough set theory can be integrated with the rough set theory to handle data with continuous attributes and can detect inconsistencies in ...

In computer science, a rough set, first described by Polish computer scientist Zdzisław I. Pawlak, is a formal approximation of a crisp set.