Contemporary Fuzzy Logic: A Perspective of Fuzzy Logic with Scilab

This book provides an essential introduction to fuzzy logic, with examples, problems, and Scilab codes. It is intended as a textbook for upper-level undergraduates and graduates in computer science, mathematics, physics, and engineering, and as a valuable resource for practitioners and researchers.

Format: Paperback / softback
Length: 136 pages
Publication date: 28 April 2023
Publisher: Springer Nature Switzerland AG

This comprehensive book provides a thorough and essential introduction to fuzzy logic, encompassing both classical concepts and cutting-edge advancements from the forefront of current research. Each major topic is accompanied by illustrative examples, challenging problems, and Scilab codes, enabling readers to apply the learned principles hands-on. As a freely available open-source software, Scilab offers a unique opportunity for individuals to practice and reinforce the concepts discussed in the book. Authored by experienced researchers and lecturers, this book serves as a valuable textbook for upper-level undergraduates and graduates studying computer science, mathematics, physics, and engineering. It also serves as a valuable resource for practitioners and researchers alike, offering innovative ideas for projects in the expansive field of fuzzy logic.

Introduction:
Fuzzy logic is a branch of mathematics that deals with the concept of imprecise or uncertain information. It is widely used in various applications, such as control systems, decision-making, and pattern recognition. This book aims to provide a comprehensive and accessible introduction to fuzzy logic, covering both classical concepts and recent developments.

Classical Concepts:
The book begins by introducing the basic principles of fuzzy logic, including the concept of fuzziness, membership functions, and inference systems. It explains how these concepts can be used to represent and manipulate uncertain information. Examples and exercises are provided to illustrate the practical applications of fuzzy logic.

Advanced Concepts:
As the book progresses, it delves into more advanced topics such as fuzzy sets, fuzzy logic operators, and fuzzy reasoning. It discusses the advantages and limitations of fuzzy logic and how it can be integrated with other fields such as artificial intelligence and machine learning. Examples and Scilab codes are used to demonstrate the implementation of fuzzy logic algorithms.

Applications:
The book showcases real-world applications of fuzzy logic in various fields, including control systems, robotics, healthcare, and finance. It discusses how fuzzy logic can be used to improve the performance of systems, make decisions in uncertain environments, and handle complex problems.

Conclusion:
This book provides a solid foundation for anyone interested in learning fuzzy logic. It is suitable for students, researchers, and practitioners in computer science, mathematics, physics, and engineering. With its comprehensive coverage, illustrative examples, and practical applications, it offers valuable insights into the world of fuzzy logic.

Weight: 238g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030989767
Edition number: 1st ed. 2022