عنوان المقالة:استكشاف خوارزميات نظام الأرقام النيوتروسوفيكية للتعامل مع عدم اليقين والغموض في البيانات العددية: نظرة عامة واتجاهات مستقبلية، Exploring Neutrosophic Numeral System Algorithms for Handling Uncertainty and Ambiguity in Numerical Data: An Overview and Future Directions,
أ.د. أحمد سلامة | Prof. Dr. Ahmed Salama | 10527
- نوع النشر
- مقال علمي
- المؤلفون بالعربي
- أحمد سلامة و أخرون
- المؤلفون بالإنجليزي
- A. A. Salama, Mahmoud Y. Shams, Sherif Elseuofi, Huda E. Khalid
- الملخص الانجليزي
- The Neutrosophic Numeral System Algorithms are a set of techniques designed to handle uncertainty and ambiguity in numerical data. These algorithms use Neutrosophic Set Theory, a mathematical framework that deals with incomplete, indeterminate, and inconsistent information. In this paper, we provide an overview of different approaches used in Neutrosophic Numeral System Algorithms, including Neutrosophic Binary System, Neutrosophic Decimal System, and Neutrosophic Octal System. These systems use different bases and representations to account for degrees of truth, indeterminacy, and falsity in numerical data. We also explore the relationship between Neutrosophic Numeral System Algorithms and Number Neutrosophic Systems, which are another type of Neutrosophic System used for representing numerical data. Number Neutrosophic Systems use Neutrosophic Numbers to represent degrees of truth, indeterminacy, and falsity in numerical data, and they can be used in conjunction with Neutrosophic Numeral System Algorithms to handle uncertainty and ambiguity in decision-making and artificial intelligence applications. Moreover. We discuss the advantages and disadvantages of each algorithm and their potential applications in various fields. Finally, we highlight the importance of Neutrosophic cryptography in addressing uncertainty and ambiguity in decision making and artificial intelligence and discuss future research directions. Understanding Neutrosophic Numeral System Algorithms and their relationship with Number Neutrosophic Systems is crucial for developing effective techniques for handling uncertainty and ambiguity in numerical data in decision-making, pattern recognition, and artificial intelligence applications.
- تاريخ النشر
- 01/04/2024
- الناشر
- Neutrosophic Sets and Systems
- رقم المجلد
- 65
- رقم العدد
- ISSN/ISBN
- 2331-6055
- رابط DOI
- 10.5281/zenodo.10866569
- رابط الملف
- تحميل (1 مرات التحميل)
- رابط خارجي
- https://fs.unm.edu/NSS/ExploringNeutrosophicNumeral15.pdf
- الكلمات المفتاحية
- Numerical Systems; Neutrosophic Mathematics; Neutrosophic Numerical Systems