The incremental learning methodology of VPRS based on complete information system

  • Authors:
  • Dun Liu;Pei Hu;Chaozhe Jiang

  • Affiliations:
  • Department of Economics and Management, Southwest Jiaotong University, Chengdu, China;Department of Economics and Management, Southwest Jiaotong University, Chengdu, China;Department of Transportation, Southwest Jiaotong University, Chengdu, China

  • Venue:
  • RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
  • Year:
  • 2008

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Abstract

By considering the inconsistent character in many information system, the variable precision rough set (VPRS) model is introduced to solve decision-making problems in this paper. Firstly, the integrations of the interesting and discernibility of knowledge based on VPRS model are defined, and an approach for available knowledge is proposed. Then, the incremental learning method of VPRS model in dynamic environment and the incremental updating for accuracy and coverage are also studied. At last, a case is studied to validate the feasibility of our method.