- Published Year: 1992
- Page count: 441
- File Size: 27 Mb
- Language: English
- Published by: IEEE, c
- Visited by: 1
- Rating/Review: 4.5
- ISBN: 0-7803-0237-0
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Each download or ask from book AI costs 2 points. To earn more free points, please visit the Points Guide Page and complete some valuable actions.Introduction to Fuzzy Logic Using MATLAB
Welcome to the comprehensive guide on fuzzy logic and its wide-ranging applications using MATLAB. Whether you are a student, educator, or professional in engineering, science, or technology, this book offers a thorough introduction to the principles and practice of fuzzy logic.
Detailed Summary of the Book
The book 'Introduction to Fuzzy Logic Using MATLAB' serves as an exhaustive resource for understanding and implementing the principles of fuzzy systems. Written by experienced authors Sivanandam S. N., Sumathi S., and Deepa S. N., it provides readers with an essential understanding of fuzzy sets and systems, an area of artificial intelligence that mimics human reasoning and decision-making.
It blends theoretical insights with practical guidance, making use of MATLAB's powerful computational capabilities. Fuzzy logic, unlike traditional binary logic systems, accommodates the complexities and uncertainties of real-world situations. The book delves deep into various concepts such as fuzzy sets, fuzzy rules, membership functions, and defuzzification methods.
Through the text, readers are introduced to the utilitarian aspects of MATLAB, an intuitive tool used for modeling, simulating, and analyzing dynamic systems. This dual focus equips readers with both the conceptual foundations of fuzzy logic and hands-on experience in leveraging MATLAB software for tackling real-life challenges.
Key Takeaways
- Comprehensive understanding of fuzzy logic principles, systems, and applications.
- Hands-on experience with MATLAB for designing and simulating fuzzy systems.
- Practical insights into solving complex decision-making problems using fuzzy logic.
- Illustrative examples and exercises that elucidate theoretical concepts.
- Application-oriented approach fosters skills applicable in numerous fields including engineering and computer science.
Famous Quotes from the Book
"Fuzzy logic reveals the nuances and subtleties inherent in the human thought process, bridging the gap between ambiguity and clarity."
"In an increasingly complex world, the ability to model uncertainty and imprecision offers a unique advantage, and this is the essence of fuzzy logic."
Why This Book Matters
'Introduction to Fuzzy Logic Using MATLAB' holds a pivotal place in modern academic and professional landscapes for several reasons. In an era where technology and artificial intelligence are advancing at an unprecedented pace, fuzzy logic stands out as a vital tool to emulate human-like decision-making. The book not only demystifies the often-intimidating subject of fuzzy logic but also empowers readers with practical skills in MATLAB—a leading technical computing software that integrates computation, visualization, and programming in a user-friendly environment.
This book makes a significant contribution by harnessing MATLAB's potential, offering readers an effective pathway to implement fuzzy systems in real-world applications. It guides the reader through each stage of system design, from conceptualization through testing and debugging, ensuring a complete learning experience.
Moreover, the instructional approach adopted by the authors enables learners to connect theoretical concepts with concrete applications, thereby enhancing their problem-solving skills and analytical thinking.
In essence, the book is more than a guide; it is a gateway to mastering the future of intelligent systems where fuzzy logic plays a central role.
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