Spherical Neutrosophic Projection Transform: Modeling Knowledge Evolution in Digital Transformation for Basic Education High-Quality Development

This paper presents a new mathematical model called the Spherical Neutrosophic Projection Transform (SNPT). The model is based on spherical neutrosophic numbers, which represent logical states using three values: truth ( t ), indeterminacy ( i ), and falsehood ( f ). These values follow the rule 𝑡 2...

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Bibliographic Details
Main Author: Yanna Deng
Format: Article
Language:English
Published: University of New Mexico 2025-07-01
Series:Neutrosophic Sets and Systems
Subjects:
Online Access:https://fs.unm.edu/NSS/48SphericalNeutrosophic.pdf
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Summary:This paper presents a new mathematical model called the Spherical Neutrosophic Projection Transform (SNPT). The model is based on spherical neutrosophic numbers, which represent logical states using three values: truth ( t ), indeterminacy ( i ), and falsehood ( f ). These values follow the rule 𝑡 2 + 𝑖 2 + 𝑓 2 ≤ 3. We define a special transform that maps each triplet to another point inside the same space. This allows us to study how knowledge or beliefs change over time in uncertain systems. We prove that the transform is mathematically safe, bounded, and stable. We also create a system of differential equations that describes how the three components interact dynamically. These tools allow us to model systems where understanding, confusion, and errors change step by step. To show a real application, we use this model to track the learning progress of students in basic education. Each student's knowledge is modeled as a changing neutrosophic triplet. The results show that our model can describe how digital transformation in education affects learning quality in a measurable and logical way. This work gives a new way to connect neutrosophic mathematics with educational improvement in the digital age.
ISSN:2331-6055
2331-608X