A Neutrosophic SuperHyper Number Framework for Accurate Statistical Evaluation of Financial Performance in High-Tech Enterprises
This paper introduces a new mathematical model that evaluates the financial performance of high-tech enterprises using neutrosophic numbers and superhyper uncertainty theory. Traditional financial analysis often fails to address incomplete, indeterminate, or conflicting information. To solve this pr...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2025-07-01
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| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | https://fs.unm.edu/NSS/58NeutrosophicSuperHyper.pdf |
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| Summary: | This paper introduces a new mathematical model that evaluates the financial performance of high-tech enterprises using neutrosophic numbers and superhyper uncertainty theory. Traditional financial analysis often fails to address incomplete, indeterminate, or conflicting information. To solve this problem, we develop a Neutrosophic SuperHyper Number Framework (NSHNF) that combines elements from neutrosophic number theory, superhyper structures, and neutrosophic probability/statistics. Each financial metric is modeled as a neutrosophic number in the form x=a+bI, where I capture indeterminacy. These values are then structured using powersets Pn to allow for multiple levels of uncertainty. We introduce several new formulas, such as the Neutrosophic Mean, Variance, and a new index called NSHNPI (Neutrosophic SuperHyper Number Performance Index). Realistic examples are provided with full calculations to show the model's usefulness and accuracy. This work represents a new direction in financial evaluation by combining strong mathematical logic, deep uncertainty handling, and practical applications in business analytics. |
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| ISSN: | 2331-6055 2331-608X |