Fuzzy Measure Choquet Integral Models and Rough Sets

DOI

Bibliographic Information

Other Title
  • ファジィ測度ショケ積分モデルとラフ集合

Description

There are close relations between rough set and fuzzy measure theory. The outputs of rough set model and interpretation of fuzzy measure are if-then rules. Therefore, using the outputs of rough set models, fuzzy measures can be identified. That fuzzy measures values are 0 or 1, crisp values. As samples that are included in upper approximation set and are not included in lower approximation set are interpreted as fuzzy decision, fuzzy measure whose values are fuzzy values can be identified. Lastly, when input values are extended to fuzzy values, Choquet integral calculations have superior properties than max-min calculations.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390282680648233600
  • NII Article ID
    130005035320
  • DOI
    10.14864/fss.24.0.84.0
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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