Research on Quality Index System of Full-time Master of Engineering Training Based on AHP-fuzzy Clustering Evaluation
Military colleges and universities have a late start and little experience in carrying out full-time engineering master's training, so it is an important topic to be solved urgently to construct and improve the training quality evaluation index system. By drawing on the existing achievements of local universities, a training quality evaluation model based on AHP-fuzzy clustering evaluation was proposed, and the AHP method was used to construct the quality evaluation index system and determine the weight value, and then the fuzzy clustering evaluation method was used to carry out an empirical study on the training quality of two engineering masters in a university. The results show that the method has strong objectivity and operability, and provides a useful reference for improving the quality of full-time engineering master's training in the military.
Authors
- Yuan Jiang (ORCID: https://orcid.org/0000-0001-6002-7414)
- Lu Li (ORCID: https://orcid.org/0000-0002-7302-8528)
Publication Details
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1109/icet62460.2024.10868541
- Primary Topic
- Multi-Criteria Decision Making
- Type
- article
- Field-Weighted Citation Impact
- 0.00