TY - GEN
T1 - Performance evaluation of design courses based on fuzzy decision-making method
AU - Liu, Shuofang
AU - Li, Juan
AU - Li, Zhe
AU - Zhao, Fuzheng
N1 - Publisher Copyright:
© 2019 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/12
Y1 - 2019/12
N2 - This paper proposes a fuzzy decision-making evaluation model. Taking the evaluation of the industrial design course of a university in China as an example, it is used to solve the problem of complexity or ambiguity in the evaluation of the curriculum effectiveness of non-quantitative multi-standard courses. Firstly, the fuzzy semantic variable is combined with the fuzzy operation to obtain the fuzzy evaluation value of the four non-quantitative scoring standards for the 10 student curriculum design schemes, and the fuzzy sequence method is used to obtain the prioritization results. Finally, the triangular fuzzy diagrams are used to compare and analyze the students in the 4 The degree of performance in the standard and the overall course learning effectiveness show that the evaluation model can effectively help to understand the effectiveness of the course learning.
AB - This paper proposes a fuzzy decision-making evaluation model. Taking the evaluation of the industrial design course of a university in China as an example, it is used to solve the problem of complexity or ambiguity in the evaluation of the curriculum effectiveness of non-quantitative multi-standard courses. Firstly, the fuzzy semantic variable is combined with the fuzzy operation to obtain the fuzzy evaluation value of the four non-quantitative scoring standards for the 10 student curriculum design schemes, and the fuzzy sequence method is used to obtain the prioritization results. Finally, the triangular fuzzy diagrams are used to compare and analyze the students in the 4 The degree of performance in the standard and the overall course learning effectiveness show that the evaluation model can effectively help to understand the effectiveness of the course learning.
UR - http://www.scopus.com/inward/record.url?scp=85084048112&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85084048112&partnerID=8YFLogxK
U2 - 10.1109/IJCIME49369.2019.00064
DO - 10.1109/IJCIME49369.2019.00064
M3 - Conference contribution
AN - SCOPUS:85084048112
T3 - Proceedings - International Joint Conference on Information, Media, and Engineering, IJCIME 2019
SP - 284
EP - 287
BT - Proceedings - International Joint Conference on Information, Media, and Engineering, IJCIME 2019
A2 - Miyoshi, Emako
A2 - Kowch, Eugene G.
A2 - Liu, Juhong Christie
A2 - Jin, Qun
A2 - Li, Zhe
A2 - Zhang, Hai
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Joint Conference on Information, Media, and Engineering, IJCIME 2019
Y2 - 17 December 2019 through 19 December 2019
ER -