Multi knowledge based rough approximations and applications

  • Authors:
  • H. M. Abu-Donia

  • Affiliations:
  • Department of Mathematics, Faculty of Science, Zagazig University, Egypt

  • Venue:
  • Knowledge-Based Systems
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.