Order-2 Probabilistic Information Fusion on Random Permutation Set

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dc.authorscopusidWitold Pedrycz / 58861905800
dc.authorwosidWitold Pedrycz / HJZ-2779-2023
dc.contributor.authorZhou, Qianli
dc.contributor.authorPedrycz, Witold
dc.contributor.authorDeng, Yong
dc.date.accessioned2025-04-18T10:14:36Z
dc.date.available2025-04-18T10:14:36Z
dc.date.issued2025
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractIn 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.
dc.description.sponsorshipThe author, Qianli Zhou, would like to extend special thanks to Dr. Ting Huang for his assistance in discussing order-2 information granules. The work is partially supported by the National Natural Science Foundation of China (Grant No. 62373078), and by the China Scholarship Council (202206070008).
dc.identifier.citationZhou, Q., Pedrycz, W., & Deng, Y. (2024). Order-2 probabilistic information fusion on random permutation set. IEEE Transactions on Knowledge and Data Engineering.
dc.identifier.doi10.1109/TKDE.2024.3484009
dc.identifier.endpage850
dc.identifier.issn10414347
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85207416612
dc.identifier.scopusqualityQ1
dc.identifier.startpage837
dc.identifier.urihttp://dx.doi.org/10.1109/TKDE.2024.3484009
dc.identifier.urihttps://hdl.handle.net/20.500.12713/7003
dc.identifier.volume37
dc.identifier.wosWOS:001395324500012
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorPedrycz, Witold
dc.institutionauthoridWitold Pedrycz / 0000-0002-9335-9930
dc.language.isoen
dc.publisherIEEE Computer Society
dc.relation.ispartofIEEE Transactions on Knowledge and Data Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectİnformation Fusion
dc.subjectOrder-2 İnformation Granüle
dc.subjectOrder-2 Probability Distribution
dc.subjectRandom Permutation Set
dc.subjectSoft Likelihood Function
dc.titleOrder-2 Probabilistic Information Fusion on Random Permutation Set
dc.typeArticle

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