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pith:S4SNUP32

pith:2026:S4SNUP32FVX6ARDWVPTXVAJM5L
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Unweighted ranking for value-based decision making with uncertainty

Aar\'on L\'opez Garc\'ia, Jose Such, Natalia Criado

Unweighted fuzzy ranking proves consistent for value-based decisions without arbitrary weights.

arxiv:2605.13601 v1 · 2026-05-13 · cs.AI · cs.MA

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Claims

C1strongest claim

We mathematically prove the consistency of the Rankzzy for any admissible configuration selected by stakeholders. The evaluation conducted indicates a reduced computational cost in large-scale value-based decision-making problems and a strong rank performance regarding existing approaches when employing the aggregation via Pythagorean means.

C2weakest assumption

That the fuzzy domain of decision variables together with the score function can faithfully encode both quantitative and qualitative criteria without loss of information or introduction of new bias that would invalidate the unweighted generalization.

C3one line summary

FUW-VBDM reframes value-based decision making as unweighted optimization over a fuzzy score domain, solved via the Rankzzy method whose consistency is proven for any admissible stakeholder configuration, with lower computational cost than weighted baselines.

References

98 extracted · 98 resolved · 0 Pith anchors

[1] I. Kaliszewski and D. Podkopaev , keywords =. Simple additive weighting—A metamodel for multiple criteria decision analysis methods , journal =. 2016 , issn =. doi:https://doi.org/10.1016/j.eswa.2016. 2016 · doi:10.1016/j.eswa.2016.01.042
[2] Hwang, Ching-Lai and Yoon, Kwangsun , doi =
[3] Triantaphyllou, Evangelos and Kovalerchuk, Boris and Mann, Lawrence and Knapp, Gerald M. , title=. Journal of Quality in Maintenance Engineering , year=
[4] Multi-Criteria Decision Making Methods: A Comparative Study , publisher = · doi:10.1007/978-1-4757-3157-6
[5] Intelligent Decision Support Systems , booktitle = · doi:10.1002/9781118522516

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First computed 2026-05-18T02:44:22.924486Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

9724da3f7a2d6fe04476abe77a812cead12436ce8b5c4ac805d2171d246c00ee

Aliases

arxiv: 2605.13601 · arxiv_version: 2605.13601v1 · doi: 10.48550/arxiv.2605.13601 · pith_short_12: S4SNUP32FVX6 · pith_short_16: S4SNUP32FVX6ARDW · pith_short_8: S4SNUP32
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S4SNUP32FVX6ARDWVPTXVAJM5L \
  | 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())"
# expect: 9724da3f7a2d6fe04476abe77a812cead12436ce8b5c4ac805d2171d246c00ee
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-13T14:36:17Z",
    "title_canon_sha256": "9eafafee9d24ce413bd494ffbb23dbd52b90d2bb8ea578fcc20faf2bfab85618"
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