Banking Clustering Study Based On Fuzzy C-mean and Fuzzy Gustafson Kessel
نویسندگان
چکیده
The banking sector as one of the economic drivers plays an important role in society. Over time, bank operations did not only raise funds from public but were more complex. development industry can be seen number banks Indonesia that have spurred level competition. Of course, must pay attention to its health. use soundness parameters or RGEC combined with clusters is interesting study. By using cluster method, classified based on their health level. This study aims analyze RGEC-based grouping classification generated by Fuzzy C-Means and Gustafson Kessel clustering analysis financial ratio data 80 conventional Indonesia. software used this Matlab r2015b. results showed FCM had a smaller standard deviation than FGK so first good condition compared other even though overall was when viewed performance.
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ژورنال
عنوان ژورنال: International Journal of Environmental, Sustainability and Social Science
سال: 2021
ISSN: ['2720-9644', '2721-0871']
DOI: https://doi.org/10.38142/ijesss.v2i1.58