Apply Rough Set Theory and Clustering Analysis into the Application to the Identification of Students with Learning Disabilities

• Main Authors: Yen-Chen Chi, 池炎城
• Other Authors: Jao-Hong Cheng
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/02063745359365718068

碩士 === 雲林科技大學 === 資訊管理系碩士班 === 96 === Among different categories of students with disabilities in recent years because the incidence of people eugenic concepts in general and minority population trends of the multiple effects, all kinds of physical and psychological barriers with the number of generally decreasing. Since learning disabilities are implicit barriers, obstacles, the case itself is the disparity between the different individual differences in the identification of students with disabilities, has been more difficult, the identification of learning disabilities in the field of special education has been a complex and difficult issues. This study try to apply the Rough Set Theory to help simplify the identification of learning disabled students and diagnose the problem. Combining the Clustering Analysis search of the best ways to carry out the diagnosis of learning disabled students work. Perhaps a chance to become the future identification of learning disabled students on the way good choice.