Soft Computing in Interdisciplinary Sciences

This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing refers to a partnership of computational techniques in computer science,artificial intelligence,machine learning,and some other engineering disciplines,which attempt to study,model,and analyze complex problems from different interdisciplinary problems. This is done,firstly,by encouraging the ways that soft computing may be applied in traditional areas,as well as point towards new and innovative areas of applications and secondly,by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself.

Format: Paperback / softback
Length: 257 pages
Publication date: 03 November 2022
Publisher: Springer Verlag, Singapore

This book is a comprehensive resource that meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is a rapidly evolving field that encompasses a wide range of computational methods, including fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, and more. It refers to a partnership of computational techniques from computer science, artificial intelligence, machine learning, and other engineering disciplines, aimed at studying, modeling, and analyzing complex problems from various interdisciplinary domains.

In contrast to traditional computing, which relies on precise models and exact solutions, soft computing deals with approximate models and provides solutions to complex real-life problems. It is tolerant of imprecision, uncertainty, partial truth, and approximations, making it suitable for dealing with the complexity and uncertainty inherent in many scientific and engineering applications.

One of the key strengths of soft computing is its ability to bridge the gap between different disciplines. By encouraging the application of soft computing methods in traditional areas, such as engineering, mathematics, and physics, researchers can gain new insights and develop innovative solutions to complex problems. At the same time, soft computing can also inspire other scientific disciplines to engage in a dialog with these computation algorithms, outlining their problems and seeking new methods and innovative developments within their fields.

This book serves as a valuable resource for researchers, students, and practitioners in various fields, including computer science, artificial intelligence, machine learning, and engineering. It provides a comprehensive introduction to soft computing methods, their applications, and their potential for interdisciplinary collaboration. The book is organized into chapters that cover different aspects of soft computing, including theoretical foundations, algorithms, and case studies. Each chapter is written by experts in the field, providing a deep understanding of the subject matter and offering practical insights and recommendations.

In conclusion, this book is a must-read for anyone interested in the intersection of science and technology/engineering and soft computing. It provides a comprehensive and up-to-date overview of the field, highlighting its strengths, challenges, and potential for interdisciplinary collaboration. By encouraging the application of soft computing methods in traditional areas and promoting dialogue between different scientific disciplines, this book will help to advance the field and address the complex problems facing our world today.

Weight: 421g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811647154
Edition number: 1st ed. 2022