DocumentCode :
3024890
Title :
Evaluation Research of Excellent Courses Based on Rough Set and Fuzzy AHP Method in Colleges
Author :
Li, Quan
Author_Institution :
Modern Technol. Center of Educ., WenZhou Univ., Wenzhou, China
fYear :
2009
fDate :
25-26 April 2009
Firstpage :
394
Lastpage :
397
Abstract :
Currently, in the evaluation of excellent courses in colleges in our country has already formatted a specialized of nation excellent courses evaluation system. From 2003 the nation evaluation system of excellent course started beginning, with the gradually development and abundance also promote the construction of excellent courses in colleges. Therefore, this paper is set from the current excellent course evaluation system, with the combination of rough set and fuzzy AHP method to make a comprehensive evaluation to the excellent courses of Wenzhou University. This paper through the process of establish the model of rough set-fuzzy analytic hierarchy process (FAHP), the main idea is to pass the weight determination method of rough set theory to centralize the each index weight of one class, also take the foundation which through the combination of subjective weight and objective weight to carry on fuzzy comprehensive evaluation analysis. Pass the establishment of the excellent courses model in colleges to put forward a new kind of evaluation method.
Keywords :
educational courses; fuzzy set theory; rough set theory; excellent college course evaluation; excellent course model; fuzzy analytic hierarchy process; fuzzy comprehensive evaluation analysis; rough set theory; Cost accounting; Databases; Education; Educational institutions; Educational technology; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Mathematics; Set theory; Excellent courses; FAHP; comprehensive evaluation; rough set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database Technology and Applications, 2009 First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3604-0
Type :
conf
DOI :
10.1109/DBTA.2009.52
Filename :
5207732
Link To Document :
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