Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences  book cover
1st Edition

Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences

ISBN 9780367750688
Published July 16, 2021 by CRC Press
232 Pages 23 B/W Illustrations

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Book Description

Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and 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. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics.

Table of Contents

1. Revisiting the Machine Learning Algorithms and Applications in Engineering and Computer Science 
Satyabrata Nath, Purndendu Das, Pradip Debnath
2. Detection and Prevention of Cancer Growth Through Machine Learning and Some Mathematical Softwares 
Kaushik Dehingia, Vishnu Narayan Mishra, Bhagya Jyoti Nath
3. A Review on Soft Computing Techniques in Nanomagnetism and its Impact on Bio-Medical Application 
Korobi Konwar, Pritam Deb
4. A Mediative Fuzzy Logic Based Approach to The Goal programming problem: In the Context of Multi-Objective Solid Transportation Problem 
M. K. Sharma, Nitesh Dhiman, Kamini Vishnu Narayan Mishra
K. Tamilvanan, N. Loganathan, N. Revathi
6. Tauberian Theorems for Intuitionistic Fuzzy Normed Spaces 
Vakeel Ahmad Khan, Mobeen Ahmad
7. Picture Fuzzy Soft Matrices 
Srinivasan Vijayabalaji
8. Cubic n-Inner Product Space 
Srinivasan Vijayabalaji, S. Sivaramakrishnan, P. Balaji
9. Convergence Methods for Double Sequences and Applications in Neutrosophic Normed Spaces 
Omer Kisi
10. Intuitionistic fuzzy generalized Lucas ideal convergent sequence spaces associated with Orlicz function 
Kuldip Raj, Kavita Saini
11. Soft Computing Techniques in Social Sciences: The Recent Developments 
Anuradha Bhattacharjee
12. An Approach Based on Fuzzy Logic for Analysis on Product Development in Open Innovation Context
Ricardo Santos, Antonio Abreu, J. M. F. Calado, Jose Miguel Soares, Ana Dias, Fernanda Mendes

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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.