Fuzzy Clustering Analysis Mathematical Model and Its Application in Teaching Evaluation
Available Online October 2015.
- https://doi.org/10.2991/icemit-15.2015.130How to use a DOI?
- fuzzy cluster analysis, mathematical model, teaching evaluation, fuzzy sets
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/icemit-15.2015.130 ID - Gao2015/10 ER -