A Relative Tolerance Relation of Rough Set for Incomplete Information Systems

  • Rd. Rohmat Saedudin
  • Hairulnizam Mahdin
  • Shahreen Kasim
  • Edi Sutoyo
  • Iwan Tri Riyadi Yanto
  • Rohayanti Hassan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 700)

Abstract

Rough set theory is an effective approach to imprecision, vagueness, and uncertainty. This theory overlaps with many other theories such that fuzzy sets, evidence theory, and statistics. From a practical point of view, it is a good tool for data analysis. However, classical rough set theory cannot cope with the incomplete information systems where some attribute values are missing. There have been efforts in studying incomplete information systems for data classification which are based on the extensions of rough set theory. Moreover, the existing approaches have their weaknesses in terms of inflexible and imprecise in data classifications. To overcome these issues, we propose a relative tolerance relation of rough set (RTRS) to handling incomplete information systems, which it has flexibility and precisely for data classification. We compared RTRS with the existing approaches, the results show that our proposed method relatively achieves higher flexibility and precisely in data classification in incomplete information systems.

Keywords

Rough set theory Limited tolerance relation Relative precision Incomplete information system 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Rd. Rohmat Saedudin
    • 1
  • Hairulnizam Mahdin
    • 2
  • Shahreen Kasim
    • 2
  • Edi Sutoyo
    • 1
  • Iwan Tri Riyadi Yanto
    • 3
  • Rohayanti Hassan
    • 4
  1. 1.School of Industrial EngineeringTelkom UniversityBandungIndonesia
  2. 2.Faculty of Computer Science and Information TechnologyUniversiti Tun Hussein Onn MalaysiaBatu PahatMalaysia
  3. 3.Department of Information SystemsUniversitas Ahmad DahlanYogyakartaIndonesia
  4. 4.Software Engineering Research Group, Faculty of ComputingUniversiti Teknologi MalaysiaSkudaiMalaysia

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