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On acquiring classification knowledge from noisy data based on rough set

✍ Scribed by Feng-Hsu Wang


Book ID
108127676
Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
291 KB
Volume
29
Category
Article
ISSN
0957-4174

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This paper proposes a new data classi"cation method based on the tolerant rough set that extends the existing equivalent rough set. Similarity measure between two data is described by a distance function of all constituent attributes and they are de"ned to be tolerant when their similarity measure e