作者: Basem O. Alijla , Lim Chee Peng , Ahamad Tajudin Khader , Mohammed Azmi Al-Betar
DOI: 10.1007/978-3-642-36543-0_37
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摘要: In this article; Intelligent Water Drops (IWD) algorithm is adapted for feature selection with Rough Set (RS). Specifically, IWD used to search a subset of features based on RS dependency as an evaluation function. The resulting system, called IWDRSFS (Intelligent Feature Selection), evaluated six benchmark data sets. performance are analysed and compared those from other methods in the literature. outcomes indicate that able provide competitive comparable results. summary, study shows useful method undertaking problems RS.