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  <doi_batch_id>aspg-24-4488-1791482382</doi_batch_id>
  <timestamp>20261008175942</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
  </depositor>
  <registrant>American Scientific Publishing Group</registrant>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Neutrosophic and Fuzzy Systems</full_title>
    <abbrev_title>JNFS</abbrev_title>
    <issn media_type="print">2771-6430</issn>
    <issn media_type="electronic">2771-6449</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2026</year>
    </publication_date>
    <journal_volume>
     <volume>11</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Robust Jensen–Shannon Consensus Geometry for Single-Valued Neutrosophic Information</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Nabil</given_name>
      <surname>Salman</surname>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Rozina</given_name>
      <surname>Ali</surname>
      <affiliations>
       <institution>
        <institution_name>Cairo University, Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Let x = (T, I,F) ∈ [0,1]3 denote a single-valued neutrosophic assessment and let wT +wI +wF = 1 with wc &gt; 0. This paper introduces the probability-completed embedding Φw(x) = 􀀀 wT T,wT (1−T),wI I,wI(1−I), wFF,wF (1−F) ∈ Δ5. and the pullback distance dw(x,y) = [J(Φw(x),Φw(y))/log2]1/2 , where J is Jensen–Shannon divergence. The construction yields a bounded metric, separates into three weighted Bernoulli Jensen–Shannon terms, is invariant under the neutrosophic complement xc = (F,1−I,T) when wT = wF , and has the local information metric d2w (x,x+δ) = 1 8log2 Σ c∈{T,I,F} wcδ2 c xc(1−xc) +O(∥δ∥3). On this geometry, robust consensus is posed as the bounded M-estimation problem bxτ = argmin x∈(0,1)3 mΣ r=1 ar{1−e−τd2w (x,xr)}. A majorization–minimization iteration reduces each step to three one dimensional weighted Jensen–Shannon barycenters and decreases the objective monotonically. The induced expert weight is proportional to e−τd2w, so strongly conflicting assessments are downweighted without a hard rejection threshold. In a reproducible contamination study with 15 experts, 800 replications at each of five contamination levels, and a fixed τ = 60, the proposed estimator has mean normalized Jensen–Shannon error 0.0149 at 40% oppositional contamination; the coordinate median, ordinary Jensen–Shannon barycenter, and arithmetic mean obtain 0.0380, 0.1448, and 0.1489, respectively. The contribution is therefore a metric and optimization framework for consensus itself, rather than another ranking operator: neutrosophic disagreement is represented on a common information-geometric scale and robust aggregation follows from a bounded variational principle.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2026</year>
    </publication_date>
    <pages>
     <first_page>09</first_page>
     <last_page>16</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">4488</item_number>
    </publisher_item>
    <ai:program name="AccessIndicators">
     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/JNFS.110102</doi>
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