Neutrosophic Analysis of Competing Hypotheses (NACH): A Novel Framework for Complex Causal Modeling with Applications to Climate Change and Urban Violence.
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| Title: | Neutrosophic Analysis of Competing Hypotheses (NACH): A Novel Framework for Complex Causal Modeling with Applications to Climate Change and Urban Violence. |
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| Authors: | Leyva, Maikel Y.1, mleyvaz@gmail.com, Smarandache, Florentin2, smarand@unm.edu |
| Source: | Neutrosophic Computing & Machine Learning; 2026, Vol. 42, p167-177, 11p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 193134573 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193134573 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 167 Titles: – TitleFull: Neutrosophic Analysis of Competing Hypotheses (NACH): A Novel Framework for Complex Causal Modeling with Applications to Climate Change and Urban Violence. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Leyva, Maikel Y. – PersonEntity: Name: NameFull: Smarandache, Florentin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 25741098 Numbering: – Type: volume Value: 42 Titles: – TitleFull: Neutrosophic Computing & Machine Learning Type: main |
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