Abstract—Technical and vocational education is an important human resources pool for existence and development of SMEs and traditional industries. After the educational reform in Taiwan, a large number of general high schools are established; therefore, the numbers of vocational high schools are deduced. Before 1990, the ratio of vocational high school and senior high school students is still seven to three. However, the ratio has become four to six so far. All of the students study hard in order to enter universities. This trend not only affects the basic technical manpower cultivation seriously, but also results in regressive economic construction. Hence, this paper tries to use vocational education as base, and applies the soft-computing method to analyze the testing subjects in vocational high schools. The research tries to find out the weighting and cluster of the subjects, which can be the basis of the professional fields in future technical and vocational education. Firstly, the mathematics model of grey structure modeling(GSM) is introduced, which is combine the localization grey relational grade(LGRG) with globalization grey relational grade (GGRG) in grey system theory. Secondly, an example in education is given to verify our new approach. In addition, the article also uses computing program to make the calculation steps more accurately and more quickly. As a result, it is hoped that through this method, the purpose of integrating exam’s subject and the rational of clustering can be established.
Index Terms—Vocational high school, soft-computing weighting, clustering, GSM, LGRG, GGRG.
Yuan-Chieh Chin and Han-Chang Wang are with the Electrical Engineering Department, Chienkuo Technology University, Changhua, Taiwan (e-mail: firstname.lastname@example.org, email@example.com).
Chung-Shih Huang is with the International Business Administration Department, Chienkuo Technology University, Changhua, Taiwan (e-mail: firstname.lastname@example.org).
Cite: Yuan-Chieh Chin, Chung-Shih Huang, and Han-Chang Wang, "The Weighting Analysis of School Exam’s Subject via Grey Structure Modeling," International Journal of Information and Education Technology vol. 5, no. 3, pp. 160-164, 2015.