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Full Description
This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or imprecise information at hand or inadequate data. It further illustrates topics such as image processing, and power system analysis.
This book:
Discusses soft computing techniques including fuzzy Logic, rough sets, neutrosophic sets, neural networks, generative adversarial networks, and evolutionary computation
Examines novel and contemporary advances in the fields of soft computing, fuzzy computing, neutrosophic computing, and machine learning systems, as well as their applications in real life
Serves as a comprehensive reference for applying machine learning and neutrosophic sets in real-world applications such as smart cities, healthcare, and the Internet of Things
Covers topics such as image processing, bioinformatics, natural language processing, supply chain management, and cybernetics
Illustrates classification of neutrosophic machine learning, neutrosophic reinforcement learning, and applications of neutrosophic machine learning in emerging industries
The text is written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
Contents
1. Enhancing the Performance of Power Amplifiers by Leveraging on Fuzzy Logic Techniques. 2. Neutrosophic Cognitive Maps: Theoretical and Mathematical Formulations, Literature Review and Applications. 3. Every aspect of Handling Class Imbalance in the Healthcare Sector. 4. Introduction to Neutrosophic Logic in the Narrow Sense. 5. Machine Learning vs. Neutrosophic Machine Learning. 6. A case study on the use of the fuzzy MOORA approach in University Selection. 7. Multi-criteria Feature Selection Evaluation for Multi-Label Text Classification: Hesitant Fuzzy Geometric approach. 8. Smart Home Automated Face Recognition. 9. Estimating the Population Mean Under Non Responses Using Neutrosophic Statistic Tools. 10. Revolutionizing Data Analytics: The Cutting-Edge Role of Soft Computing Techniques. 11. AI-Infused Respiratory Diagnostics: A New Era in Healthcare. 12. Intersection of Neutrosophy and Machine Learning: Applications in Agriculture. 13. Newfangled Methods for Interval Neutrosophic Sets. 14. Synthesis of Machine Learning Applications Cutting-Edge Modern Agriculture: Projecting Fuzzy Logic Crop Health Monitoring via Soil and Plant Sensors Technologies.
