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pith:2026:IR246SA6QILU2LELQV7745TILF
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Evidential Information Fusion on Possibilistic Structure

Qianli Zhou, Witold Pedrycz, Ye Cui, Yong Deng, Zhen Li

A reversible transformation from belief functions to possibilistic structures on the power set enables a flexible evidential fusion framework using triangular norms.

arxiv:2605.17038 v1 · 2026-05-16 · cs.AI

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Claims

C1strongest claim

The proposed framework supports more flexible combination behaviors and exhibits advantages in non-distinct source fusion, conflict management, parametric combination design, and heterogeneous information fusion.

C2weakest assumption

The isopignistic principle provides a valid and useful reversible mapping from belief functions to the possibilistic structure on the power set that preserves necessary relationships for fusion.

C3one line summary

A transformation from belief functions to possibilistic structures on power sets, combined with triangular norms, yields an adaptive evidential fusion method with advantages in conflict management and heterogeneous sources.

References

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[1] R. R. Yager and L. Liu,Classic works of the Dempster-Shafer theory of belief functions. Springer, 2008, vol. 219 2008
[2] Multimodal measurement framework for thunderstorm charge motion: Spatiotemporal sensor fusion with bayesian-optimized localization, 2025
[3] A novel method for generating permutation mass functions using permutations to represent class bias, 2026
[4] Assessment of digital economy development with the new multicriteria sorting method: Dcmsort, 2025
[5] Bsc: Belief shift clustering, 2023

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First computed 2026-05-20T00:03:37.222035Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4475cf481e82174d2c8b857ffe766859535b578982244bee325348efb340730d

Aliases

arxiv: 2605.17038 · arxiv_version: 2605.17038v1 · doi: 10.48550/arxiv.2605.17038 · pith_short_12: IR246SA6QILU · pith_short_16: IR246SA6QILU2LEL · pith_short_8: IR246SA6
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/IR246SA6QILU2LELQV7745TILF \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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