The book contains theory and applications of soft computing in engineering, health, social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering.

Dr. Pradip Debnath is an assistant professor (in Mathematics) in the Department of Applied Science and Humanities of Assam University, Silchar.

S. A. Mohiuddine is a full professor of Mathematics at King Abdulaziz University, Jeddah, Saudi Arabia.

1. Revisiting the Machine Learning Algorithms and Applications in Engineering and Computer Science 2. Detection and Prevention of Cancer Growth Through Machine Learning and Some Mathematical Softwares 3. A Review on Soft Computing Techniques in Nanomagnetism and its Impact on Bio-Medical Application 4. A Mediative Fuzzy Logic Based Approach to The Goal programming problem: In the Context of Multi-Objective Solid Transportation Problem 5. H-U-R STABILITY RESULTS OF MIXED TYPE ADDITIVE - QUADRATIC FUNCTIONAL EQUATION IN FUZZY ¿¿- NORMED SPACES BY TWO DIFFERENT APPROACHES 6. Tauberian Theorems for Intuitionistic Fuzzy Normed Spaces 7. Picture Fuzzy Soft Matrices 8. Cubic n-Inner Product Space 9. Convergence Methods for Double Sequences and Applications in Neutrosophic Normed Spaces 10. Intuitionistic fuzzy generalized Lucas ideal convergent sequence spaces associated with Orlicz function 11. Soft Computing Techniques in Social Sciences: The Recent Developments 12. An Approach Based on Fuzzy Logic for Analysis on Product Development in Open Innovation Context