DocumentCode :
1911309
Title :
Research and Application of Algorithm for Comprehensive Quality Evaluation of College Students
Author :
Fan Xiu-juan ; Liao Qing
Author_Institution :
Sch. of Inf. Technol., Beijing Inst. of Fashion Technol., Beijing, China
Volume :
4
fYear :
2009
fDate :
10-11 Oct. 2009
Firstpage :
231
Lastpage :
234
Abstract :
Analytic hierarchy process (AHP) is adopted to determine the weight of index for the comprehensive quality evaluation of the college students. The fuzzy theory is adopted for the level-four fuzzy judgment on the comprehensive quality. Based on results of the analysis and judgment, an improved algorithm for the comprehensive evaluation of the fuzzy neural network is produced. The BP algorithm is used to adjust the parameters of the membership functions of the fuzzy system, strengthen the self-adapting ability of the system and raise the accuracy of the system. The applied examples show that the model of comprehensive quality evaluation for the college students, which are based on the fuzzy neural network algorithm, integrates with the merits of the fuzzy operation and neural network operation, and the judgment result is reasonable and the method is practical.
Keywords :
backpropagation; decision making; decision theory; educational administrative data processing; fuzzy neural nets; fuzzy set theory; BP algorithm; analytic hierarchy process; college student; comprehensive quality evaluation; fuzzy neural network; fuzzy system; fuzzy theory; level-four fuzzy judgment; membership function; Algorithm design and analysis; Art; Data analysis; Educational institutions; Ethics; Fuzzy neural networks; Fuzzy systems; Materials science and technology; Statistical analysis; Testing; Analytic Hierarchy Process (AHP); fuzzy neural network; fuzzy theory; quality evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
Type :
conf
DOI :
10.1109/ICICTA.2009.771
Filename :
5288258
Link To Document :
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