{"paper":{"title":"Evidential Information Fusion on Possibilistic Structure","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"A reversible transformation from belief functions to possibilistic structures on the power set enables a flexible evidential fusion framework using triangular norms.","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Qianli Zhou, Witold Pedrycz, Ye Cui, Yong Deng, Zhen Li","submitted_at":"2026-05-16T15:18:59Z","abstract_excerpt":"Dempster's rule is a fundamental tool for combining belief functions from distinct and reliable sources. However, its intersection-based semantics imposes strong structural restrictions, which limits its flexibility in handling complex source states and diverse information fusion scenarios. To overcome this limitation, we propose a reversible transformation, derived from the isopignistic principle, between belief functions and a possibilistic structure defined on the power set. 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