Design of the Integrated Incomplete Information Processing System based on Rough Set

  • Jeong, Gu-Beom (Sang Ju National University, Catholic University of Daegu, Daejin University and Samsung Electronics co., LTD) ;
  • Chung, Hwan-Mook (Sang Ju National University, Catholic University of Daegu, Daejin University and Samsung Electronics co., LTD) ;
  • Kim, Guk-Boh (Sang Ju National University, Catholic University of Daegu, Daejin University and Samsung Electronics co., LTD) ;
  • Park, Kyung-Ok (Sang Ju National University, Catholic University of Daegu, Daejin University and Samsung Electronics co., LTD)
  • 발행 : 2001.10.01

초록

In general, Rough Set theory is used for classification, inference, and decision analysis of incomplete data by using approximation space concepts in information system. Information system can include quantitative attribute values which have interval characteristics, or incomplete data such as multiple or unknown(missing) data. These incomplete data cause tole inconsistency in information system and decrease the classification ability in system using Rough Sets. In this paper, we present various types of incomplete data which may occur in information system and propose INcomplete information Processing System(INiPS) which converts incomplete information system into complete information system in using Rough Sets.

키워드

참고문헌

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