Fuzzy Clustering Analysis Mathematical Model and Its Application in Teaching Evaluation

DOI

10.2991/icemit-15.2015.130How to use a DOI?

Keywords

fuzzy cluster analysis, mathematical model, teaching evaluation, fuzzy sets

Abstract

Fuzzy clustering analysis is based on the characteristics of objective things, degree of affinity, similarity, through the establishment of objective things fuzzy similar relationship clustering method to analysis. In this paper, establish fuzzy clustering analysis mathematical model and conduct a case study. Mathematical model according to fuzzy sets representation, data standardization, fuzzy relationship to establish process, fuzzy relation gives a variety of commonly used methods; section of case analysis first establish teaching evaluation indicator system, then follow the steps for solving mathematical model Complete eight professional teaching assessment. According to cluster analysis, extract key information from large amounts of data for policy makers, provide a strong basis for policy-makers who make the right decisions.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Shanshan Gao
PY  - 2015/10
DA  - 2015/10
TI  - Fuzzy Clustering Analysis Mathematical Model and Its Application in Teaching Evaluation
BT  - Proceedings of the International Conference on Education, Management and Information Technology
PB  - Atlantis Press
SP  - 625
EP  - 630
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemit-15.2015.130
DO  - 10.2991/icemit-15.2015.130
ID  - Gao2015/10
ER  -