Oct 22, 2024 · Rough set theory has been used as such a dataset pre-processor with much success, but current methods are inadequate at finding globally minimal ...

This paper proposes a technique that considers this problem from a propositional satisfiability perspective. In this framework, minimal subsets can be located ...

There are two main approaches to finding rough set reducts: those that con- sider the degree of dependency and those that are concerned with the discernibil-.

Finding Rough Set Reducts with SAT. Shen, Qiang; Tuson, Andrew; Jensen, Richard. Publication date: 2005. Citation for published version (APA):. Shen, Q., Tuson ...

Included in the following conference series: International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing.

Jan 10, 2014 · Rough set theory (RST) can be used as such a tool to discover data dependencies and to reduce the number of attributes contained in a dataset ...

Rough set theory has been used as such a dataset pre-processor with much success, but current methods are inadequate at finding minimal reductions, the smallest ...

This paper proposes a general approach to this problem that employs a novel feature grouping step in order to alleviate the processing overhead for large ...

This paper proposes a technique that considers this problem from a propositional satisfiability perspective. In this framework, minimal subsets can be located ...