Về phương pháp rút gọn thuộc tính trong bảng quyết định với miền trị thuộc tính nhận giá trị số theo tiếp cận tập thô mờ

  • Nguyễn Văn Thiện Trường Đại học Công nghiệp Hà Nội
  • Nguyễn Long Giang Viện Công nghệ Thông tin, Viện Hàn Lâm KHCN Việt nam
  • Nguyễn Như Sơn Viện Công nghệ Thông tin, Viện Hàn Lâm KHCN Việt nam


Attributes reduction based on rough set is interesting research area. However, the attributes reduction algorithms based on rough set is done on the discrete domain decision tables (that is applied discretization methods). In recent years, some researchs on fuzzy rough set based directly attribute reduction in numeric domain decision tables have been studied. This paper proposes fuzzy rough set based directly attribute reduction method in numeric domain decision tables. The experiment results showed that the fuzzy rough set method has better classification accuracy than rough set theory.


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