Order-2 Probabilistic Information Fusion on Random Permutation Set
Küçük Resim Yok
Tarih
2025
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE Computer Society
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, a multi-object recognition scenario is considered to extend the random finite set into random permutation set. Probabilistic information on random permutation set can be viewed as an distribution determined by three random variables. We use another emerging uncertainty representation, order-2 information granule, to realize the probabilistic information fusion on random permutation sets. First, the probabilistic information on random permutation sets is viewed as an order-2 probability distribution. Second, corresponding information fusion approach is proposed. Finally, the proposed approach is applied to random permutation sets, resolving the decision-making issue under the multi-object recognition scenario. This paper pioneers the connection of order-2 information processing logic to a multi-object recognition task and develops order-2 probability distribution and its combination rules. Compared to the traditional probabilistic information fusion approaches, the proposed approach takes into account not only the propositions' beliefs provided by the sources, but the structural dependency among propositions as well. © 1989-2012 IEEE.
Açıklama
Anahtar Kelimeler
İnformation Fusion, Order-2 İnformation Granüle, Order-2 Probability Distribution, Random Permutation Set, Soft Likelihood Function
Kaynak
IEEE Transactions on Knowledge and Data Engineering
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
37
Sayı
2
Künye
Zhou, Q., Pedrycz, W., & Deng, Y. (2024). Order-2 probabilistic information fusion on random permutation set. IEEE Transactions on Knowledge and Data Engineering.
