Abstract :
The main motto of rough sets is: "Let the data speak for themselves!". Rough sets are based on the theory of sets. The main applications of rough set theory are attribute reduction, rule generation and prediction. Many examples of applications of rough sets to process control, economics, medical diagnosis, biochemistry, environmental science, biology, chemistry psychology, conflict analysis and other fields can be found in (Lin and Cercone, 1997; Polkowski and Skowron, 1998; Slowinski, 1992). We developed a different algorithm for searching the core. The application can be used in most mentioned cases.
Keywords :
data analysis; rough set theory; attribute reduction; core searching; data analysis; data discretisation; discernibility matrix; prediction; reduct; rough set theory; rule generation; Biochemistry; Biology; Chemistry; Economic forecasting; Environmental economics; Medical diagnosis; Process control; Psychology; Rough sets; Set theory;
