Abstract
Random permutation set theory (RPST), as an uncertainty modeling approach considering underlying ordered information, is proposed based on permutation set recently. Different from Dempster–Shafer Theory (DST), RPST extends the event space from power sets to permutation sets and thus can distinguish weights between ordered sets of the same cardinality. In this paper, we use an n-player cooperative game to interpret RPST and propose an OWA operator-based method to calculate the marginalizations of Permutation Mass Function (PerMF). In addition to reflecting the ordered information of the permutation events, the proposed method also relates the Probability Mass Function (ProbMF), the Basic Probability Assignment (BPA) and the PerMF from the perspective of random sets.
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Notes
They can transform to each other by invertible matrices.
The mass function is all positive, while the unique function may be negative. However, this does not affect the mathematical results.
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Acknowledgements
The authors are grateful for the guidance of master’s candidate, Jixiang Deng, and PhD candidate, Lipeng Pan, in the Information Fusion and Intelligent Systems Laboratory.
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The work was partially supported by National Natural Science Foundation of China (Grant No. 61973332).
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Qianli Zhou took part in conceptualization, methodology, formal analysis, investigation, writing—original draft, writing—review & editing. Ye Cui involved in data experiment, formal analysis, writing—review & editing. Zhen Li took part in validation, writing—review & editing. Yong Deng involved in validation, resources, supervision, funding acquisition.
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Zhou, Q., Cui, Y., Li, Z. et al. Marginalization in random permutation set theory: from the cooperative game perspective. Nonlinear Dyn 111, 13125–13141 (2023). https://doi.org/10.1007/s11071-023-08506-7
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DOI: https://doi.org/10.1007/s11071-023-08506-7