Neutrosophic Topological Framework for Uncertainty Management in Smartphone Data Extraction Applications | ||
| مجلة العلوم التجارية والبيئية | ||
| Volume 3, Issue 2, October 2024, Pages 322-352 PDF (983.33 K) | ||
| Document Type: المقالات الأصلية | ||
| DOI: 10.21608/jcese.2024.281765.1059 | ||
| Authors | ||
| Ramy Abou Alzahab1; Amr Ismail2; Saied Helemy Abd El khalek2; H. M. Albakry3; A. A. Salama* 1 | ||
| 1Dept. of Math and Computer Sci., Faculty of Science, Port Said Univ., Egypt | ||
| 2Math and Computer Science, Faculty of Science, Port Said University, Egypt | ||
| 3Dept. of Information Systems., Faculty of Computer and Information Sci, Mansoura Univ., Egypt | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Neutrosophic topological framework; smartphone data extraction; uncertainty quantification; activity recognition; sentiment analysis; anomaly detection; personalized health monitoring | ||
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