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

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Quality Index System of Full-time Master of Engineering Training Based on AHP-fuzzy Clustering Evaluation

Yuan Jiang, Lu Li
Multi-Criteria Decision Making
article

Research on Quality Index System of Full-time Master of Engineering Training Based on AHP-fuzzy Clustering Evaluation

Yuan Jiang, Lu Li
article en

Abstract

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.

Openalex Percentile: Top 67%
Multi-Criteria Decision Making
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.