A Neutrosophic SuperHyper Number Framework for Accurate Statistical Evaluation of Financial Performance in High-Tech Enterprises
Keywords:
Neutrosophic Numbers; SuperHyper Uncertainty; Financial Performance; High-Tech Enterprises; Neutrosophic Statistics; Indeterminacy; SuperHyperFunctions; NSHNPI; Neutrosophic Logic; Uncertain Decision ModelsAbstract
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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Copyright (c) 2025 Neutrosophic Sets and Systems
This work is licensed under a Creative Commons Attribution 4.0 International License.
