Multi knowledge based rough approximations and applications
Rough set theory is an important technique in knowledge discovery in databases. In covering based rough sets, many types of rough set models are established in recent years. This paper presents new types of rough set approximations using multi knowledge base, that is, family of finite number of (reflexive, tolerance, dominance, equivalence) relations by two ways. Properties and applications of these approximation operators are studied and many examples are given.
rough sets lower and upper approximations right neighborhoods accuracy measure left neighborhoods topological spaces