COPRAS Neutrosophic Approach with Big Data Analytics for Enhancing Multi-Dimensional Customer Churn Prediction on Corporate Performance Assessment.
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| Title: | COPRAS Neutrosophic Approach with Big Data Analytics for Enhancing Multi-Dimensional Customer Churn Prediction on Corporate Performance Assessment. |
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| Authors: | Omer, Adam Mohamed1 amahmeed@kku.edu.sa |
| Source: | International Journal of Neutrosophic Science (IJNS). 2024, Vol. 24 Issue 3, p127-137. 11p. |
| Database: | Mathematics Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=180913655 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.54216/IJNS.240311 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 127 Titles: – TitleFull: COPRAS Neutrosophic Approach with Big Data Analytics for Enhancing Multi-Dimensional Customer Churn Prediction on Corporate Performance Assessment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Omer, Adam Mohamed IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 26926148 Numbering: – Type: volume Value: 24 – Type: issue Value: 3 Titles: – TitleFull: International Journal of Neutrosophic Science (IJNS) Type: main |
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