Soft Computing and Machine Learning: A Fuzzy and Neutrosophic View of Reality [Hardcover]

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.

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.

Mohd Anas Wajid is a Postdoctoral Research Associate in Data Science at the Institute for the Future of Education, TEC de Monterrey, Mexico. He is also Assistant Professor at Galgotias University, Greater Noida, India, in the Department of Computer Science and Application. He received his PhD degree in Computer Science from Aligarh Muslim University, India. He was awarded with the MITACS- SICI Globalink Resel¡