DocumentCode :
2081690
Title :
The multi-level fuzzy evaluation model of college students´ comprehensive quality
Author :
Yang, Zunqi ; Zhang, Yuan ; Rong, Rui ; Zou, Xu
Author_Institution :
Business School, Tianjin University of Finance and Economics, China
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
3279
Lastpage :
3282
Abstract :
This paper, according to the statistical data of a survey for nearly two thousand college students in a university, introduces the method of multi-level fuzzy comprehensive evaluation to make the criterion of students´ comprehensive quality. Data from our survey indicate that comprehensive quality of college students is generally in a good level. Specifically, the results illustrate that the psychological adaptability of students is excellent, whereas their social practices, practical ability and innovation ability perform well, however the fundamental knowledge of undergraduates is lacking. These conclusions could be used to guide university administrators and government officials to establish more effective methods to help college students obtain more developmental opportunities for employment. In order to make this assessment more objective and accurate, the evaluation methods of questionnaire and multi-level fuzzy comprehensive evaluation method for the corresponding algorithms are improved.
Keywords :
Communities; Educational institutions; Employment; Engineering profession; Indexes; Psychology; Technological innovation; maximum membership grade; multi-level fuzzy comprehensive evaluation; relationship Matrix; temporary third-class indicators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
Type :
conf
DOI :
10.1109/ICISE.2010.5688494
Filename :
5688494
Link To Document :
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