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  • 标题:ROUGH SETS APPLICATION FOR STUDENTS CLASSIFICATION BASED ON PERCEPTUAL DATA
  • 本地全文:下载
  • 作者:Asheesh Kumar ; Naresh Rameshrao Pimplikar ; Apurva Mohan Gupta
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:2
  • 页码:364-371
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Now days, Artificial Intelligence is used across the different range of areas including Industrial Automation, Robotics, Logistic and Transport, Avionics, Arts and Media, Virtualization and it also will prominent in future. Different intelligent techniques include the ANN, Fuzzy logic and Fuzzy sets, Genetic algorithms and other methods as soft computing. The rough set theory is an import concept that can also bring a new horizon in this area. In this paper the theme is discussion about the rough set theory and some potential industrial applications drafted. Rough set theory deals with the inadequate data and gives the approximate output. This paper discussion carries on the applications of AI, conceptual overview of rough set theory and its application with the educational data classification.
  • 关键词:Rough set theory; Educational data ; classification; Applications of rough set theory
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