دورية أكاديمية
Fuzzy-clustering and fuzzy network based interpretable fuzzy model for prediction
| العنوان: | Fuzzy-clustering and fuzzy network based interpretable fuzzy model for prediction |
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| المؤلفون: | Wang, Xiaowei, Chen, Yanqiao, Jin, Jiashan, Zhang, Baohua |
| المساهمون: | Academic Leader Program |
| المصدر: | Scientific Reports ; volume 12, issue 1 ; ISSN 2045-2322 |
| بيانات النشر: | Springer Science and Business Media LLC |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Multidisciplinary |
| الوصف: | Interpretability is the dominant feature of a fuzzy model in security-oriented fields. Traditionally fuzzy models based on expert knowledge have obtained well interpretation innately but imprecisely. Numerical data based fuzzy models perform well in precision but not necessarily in interpretation. To utilize the expert knowledge and numerical data in a fuzzy model synchronously, this paper proposed a hybrid fuzzy c-means (FCM) clustering algorithm and Fuzzy Network (FN) method-based model for prediction. The Mamdani rule-based structure of the proposed model is identified based on FCM algorithm from data and by expert-system method from expert knowledge, both of which are combined by FN method. Particle swarm optimization (PSO) algorithm is utilized to optimize the fuzzy set parameters. We tested the proposed model on 6 real datasets comparing the results with the ones obtained by using FCM algorithm. The results showed that our model performed best in interpretability, transparency, and accuracy. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1038/s41598-022-20015-y |
| الإتاحة: | https://doi.org/10.1038/s41598-022-20015-yTest https://www.nature.com/articles/s41598-022-20015-y.pdfTest https://www.nature.com/articles/s41598-022-20015-yTest |
| حقوق: | https://creativecommons.org/licenses/by/4.0Test ; https://creativecommons.org/licenses/by/4.0Test |
| رقم الانضمام: | edsbas.7700812A |
| قاعدة البيانات: | BASE |
| DOI: | 10.1038/s41598-022-20015-y |
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