A vague-rough set approach for uncertain knowledge acquisition

Research output: Contribution to journalArticlepeer-review


  • Lin Feng
  • Tianrui Li
  • Da Ruan
  • Shirong Gou

Institutes & Expert groups

  • Sichuan Normal University
  • Southwest Jiaotong University
  • UGent - Universiteit Gent

Documents & links


By combining both vague sets and rough sets in fuzzy data processing, we propose a vague-rough set approach for extracting knowledge under uncertain environments. We compute all attribute reductions using the vague-rough lower approximation distribution, concepts of attribute reduction and the discernibility matrix in a vague decision information system (VDIS). Research results for extracting decision rules from the VDIS show the proposed approaches extend the corresponding method in classical rough set theory and provide a new avenue to uncertain vague knowledge acquisition.


Original languageEnglish
Pages (from-to)837-843
JournalKnowledge-Based Systems
Issue number6
Publication statusPublished - 3 Apr 2011


  • Knowledge acquisition, Rough sets, Vague sets, Vague rough sets, Attribute reduction, Uncertain information system

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