Neutrosophic Topological Framework for Uncertainty Management in Smartphone Data Extraction Applications

Abou Alzahab, Ramy; Ismail, Amr; Abd El Khalek, Saied Helemy; Albakry, H. M.; Salama, A. A.

doi:10.21608/jcese.2024.281765.1059

Neutrosophic Topological Framework for Uncertainty Management in Smartphone Data Extraction Applications

نوع المستند : المقالات الأصلية

المؤلفون

¹ Dept. of Math and Computer Sci., Faculty of Science, Port Said Univ., Egypt

² Math and Computer Science, Faculty of Science, Port Said University, Egypt

³ Dept. of Information Systems., Faculty of Computer and Information Sci, Mansoura Univ., Egypt

10.21608/jcese.2024.281765.1059

المستخلص

The neutrosophic topological framework is proposed for smartphone data extraction, considering inherent ambiguity and uncertainty. This approach incorporates neutrosophic membership degrees (Truth, Indeterminacy, and Falsity) to handle uncertainty in various applications. This paper presents potential applications, including activity recognition, sentiment analysis, anomaly detection in app usage patterns, and personalized health monitoring. Numerical examples are provided to illustrate the application of the framework in these domains.

الكلمات الرئيسية