[1]
Si Y, Chao N, Ma X Q. Fuzzy Comprehensive Evaluation of Graduate Education Quality Based on AHP. Advanced Materials Research, Vol. 171 (2011), pp.663-666.
DOI: 10.4028/www.scientific.net/amr.171-172.663
Google Scholar
[2]
Qi Y, Wen F, Wang K, et al. A fuzzy comprehensive evaluation and entropy weight decision-making based method for power network structure assessment. International Journal of Engineering, Science and Technology, Vol. 2, No. 5 (2010), pp.92-99.
DOI: 10.4314/ijest.v2i5.60126
Google Scholar
[3]
PawlakZ. Rough sets and intelligent data analysis. Information Science, Vol. 147 (2002), pp.1-12.
Google Scholar
[4]
Sipahi S, Timor M. The analytic hierarchy process and analytic network process: an overview of applications. Management Decision, Vol. 48, No. 5 (2010), pp.775-808.
DOI: 10.1108/00251741011043920
Google Scholar
[5]
Burton L J, Dowling D G, Kavanagh L, et al. A review of three approaches to determining students capabilities for studying engineering. Proceedings of the 22nd Annual Conference of the Australasian Association for Engineering Education. Engineers Australia (2011).
Google Scholar
[6]
Sipahi S, Timor M. The analytic hierarchy process and analytic network process: an overview of applications. Management Decision, Vol. 48, No. 5(2010), pp.775-808.
DOI: 10.1108/00251741011043920
Google Scholar
[7]
Büyüközkan G, Arsenyan J, Ertek G. Evaluation of e-learning web sites using fuzzy axiomatic design based approach. International Journal of Computational Intelligence Systems, Vol. 3, No. 1 (2010), pp.28-42.
DOI: 10.2991/ijcis.2010.3.1.4
Google Scholar
[8]
ITSEC. Information technology security evaluation criteria, version 1-2. Office for official publications of the European communities, June (1991).
Google Scholar