Title :
Study on the identification model of poor college students based on the grey clustering method
Author :
Hongqi, Liu ; Ying, Yuan ; Qingchun, Wu
Author_Institution :
Center for Student Assistance Adm., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
Based on the study of the current identification methods and the factors that influence the difficult degree of the students, the paper analyzed the current methods of grade assessment and identification about the students from economically disadvantaged families in domestic college and their advantages and disadvantages, advanced the systems of the grade assessment and identification about the students from economically disadvantaged families. Considering the illegibility of the index in the grade assessment systems, the paper proposes the grey clustering methods to make quantificational judge, introduced the process of the grey clustering methods and the applications in the practical case, expecting that it can afford references for the study and practice of the identification about the students from economically disadvantaged families in our country.
Keywords :
economics; educational administrative data processing; grey systems; domestic college; grade assessment system; grey clustering; identification model; poor college student; Clustering methods; Educational institutions; Equal opportunities; Finance; Information analysis; Intelligent systems; Joining processes; National security; Optimization methods; Psychology;
Conference_Titel :
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4914-9
Electronic_ISBN :
978-1-4244-4916-3
DOI :
10.1109/GSIS.2009.5408217