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  • 标题:Designing Fuzzy Expert System to Identify Child Intelligence
  • 本地全文:下载
  • 作者:Muhamad Bahrul Ulum ; Vitri Tundjungsari
  • 期刊名称:TELKOMNIKA (Telecommunication Computing Electronics and Control)
  • 印刷版ISSN:2302-9293
  • 出版年度:2018
  • 卷号:16
  • 期号:4
  • 页码:1688-1696
  • DOI:10.12928/telkomnika.v16i4.7779
  • 语种:English
  • 出版社:Universitas Ahmad Dahlan
  • 其他摘要:Every child is special and has her/his own unique potential. Identifying child’s potential in early age is important for teaching purpose since every child has difference intelligence and interest. Therefore children’s teaching and learning process should be delivered based on child’s interest and intelligence, instead of forcing children to excel in every subject. We propose our research to identify child’s intelligence by designing fuzzy expert system. The system works based on several input data of children’s multiple intelligences. The fuzzy expert system is developed using 25 input variables and resulted in 9 output variables. The system classifies the result based on 9 types of intelligence in human, where each exhibits different level. We produce 81 rules with fuzzy set of three different levels value (high, moderate, or low) for every kind of intelligence. The result of this research is very useful to help parents and teachers for determining their method of teaching based on children’s potential.
  • 关键词:fuzzy; child intelligence; expert system
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