Performance evaluation of design courses based on fuzzy decision-making method

Shuofang Liu, Juan Li, Zhe Li, Fuzheng Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - International Joint Conference on Information, Media, and Engineering, IJCIME 2019
EditorsEmako Miyoshi, Eugene G. Kowch, Juhong Christie Liu, Qun Jin, Zhe Li, Hai Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages284-287
Number of pages4
ISBN (Electronic)9781728155869
DOIs
Publication statusPublished - 2019 Dec
Event2019 International Joint Conference on Information, Media, and Engineering, IJCIME 2019 - Osaka, Japan
Duration: 2019 Dec 172019 Dec 19

Publication series

NameProceedings - International Joint Conference on Information, Media, and Engineering, IJCIME 2019

Conference

Conference2019 International Joint Conference on Information, Media, and Engineering, IJCIME 2019
CountryJapan
CityOsaka
Period19-12-1719-12-19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Media Technology
  • Education

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