دورية أكاديمية

A clustering based method to complete frame of discernment

التفاصيل البيبلوغرافية
العنوان: A clustering based method to complete frame of discernment
المؤلفون: Yang, Wenran, Li, Xinde, Deng, Yong
المصدر: Chinese Journal of Aeronautics, 36 (4)
بيانات النشر: Elsevier
سنة النشر: 2023
المجموعة: ETH Zürich Research Collection
مصطلحات موضوعية: Dempster-Shafer evidence theory, Generalized evidence theory, Information fusion, K-means clustering, Open World assumption, Target recognition
الوصف: When the existing information does not contain all categories, the Generalized Evidence Theory (GET) can deal with information fusion. However, the question of how to determine the number of categories through GET is still intriguing. To address this question, a modified k-means clustering, named centers initialized clustering is proposed, filling the gap of identification and complement of the frame of discernment. Based on this clustering method, the number of categories is determined. The initialized centers selected by center density keep the cluster results constant, enhancing the stability of clustering results. Besides, constructing Generalized basic Probability Assignment (GBPA) modules in a conservative way improves the reliability of the results. The mass of empty set in combined GBPAs is the indicator of the number of categories. Experiments on real and artificial data sets are conducted to show the effectiveness.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/application/pdf
اللغة: English
العلاقة: info:eu-repo/semantics/altIdentifier/wos/000986988900001; http://hdl.handle.net/20.500.11850/609503Test
DOI: 10.3929/ethz-b-000609503
الإتاحة: https://doi.org/20.500.11850/609503Test
https://doi.org/10.3929/ethz-b-000609503Test
https://doi.org/10.1016/j.cja.2022.09.022Test
https://hdl.handle.net/20.500.11850/609503Test
حقوق: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by-nc-nd/4.0Test/ ; Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
رقم الانضمام: edsbas.AFB8E8B6
قاعدة البيانات: BASE