Fuzzy Logic

Author : Daniel Mcneill
Publisher : Simon and Schuster
ISBN 13 : 0671875353
Total Pages : 324 pages
Book Rating : 4.50/5 ( download)

DOWNLOAD NOW!

Download or read book Fuzzy Logic written by Daniel Mcneill and published by Simon and Schuster. This book was released on 1994-04-14 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traces the story of Lofti Zadeh, an Iranian-American professor at Berkeley who began developing fuzzy logic - the way to program computers so they can mimic the imprecise way that humans make decisions.

Author : Enric Trillas
Publisher : Springer
ISBN 13 : 3319142038
Total Pages : 211 pages
Book Rating : 4.36/5 ( download)

DOWNLOAD NOW!

Download or read book Fuzzy Logic written by Enric Trillas and published by Springer. This book was released on 2015-01-12 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to fundamental concepts in fuzzy logic. It describes the necessary theoretical background and a number of basic mathematical models. Moreover, it makes them familiar with fuzzy control, an important topic in the engineering field. The book offers an unconventional introductory textbook on fuzzy logic, presenting theory together with examples and not always following the typical mathematical style of theorem-corollaries. Primarily intended to support engineers during their university studies, and to spark their curiosity about fuzzy logic and its applications, the book is also suitable for self-study, providing a valuable resource for engineers and professionals who deal with imprecision and non-random uncertainty in real-world applications.

Author : James K. Peckol
Publisher : John Wiley & Sons
ISBN 13 : 1119772613
Total Pages : 308 pages
Book Rating : 4.13/5 ( download)

DOWNLOAD NOW!

Download or read book Introduction to Fuzzy Logic written by James K. Peckol and published by John Wiley & Sons. This book was released on 2021-08-02 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn more about the history, foundations, and applications of fuzzy logic in this comprehensive resource by an academic leader Introduction to Fuzzy Logic delivers a high-level but accessible introduction to the rapidly growing and evolving field of fuzzy logic and its applications. Distinguished engineer, academic, and author James K. Peckol covers a wide variety of practical topics, including the differences between crisp and fuzzy logic, the people and professions who find fuzzy logic useful, and the advantages of using fuzzy logic. While the book assumes a solid foundation in embedded systems, including basic logic design, and C/C++ programming, it is written in a practical and easy-to-read style that engages the reader and assists in learning and retention. The author includes introductions of threshold and perceptron logic to further enhance the applicability of the material contained within. After introducing readers to the topic with a brief description of the history and development of the field, Introduction to Fuzzy Logic goes on to discuss a wide variety of foundational and advanced topics, like: A review of Boolean algebra, including logic minimization with algebraic means and Karnaugh maps A discussion of crisp sets, including classic set membership, set theory and operations, and basic classical crisp set properties A discussion of fuzzy sets, including the foundations of fuzzy sets logic, set membership functions, and fuzzy set properties An analysis of fuzzy inference and approximate reasoning, along with the concepts of containment and entailment and relations between fuzzy subsets Perfect for mid-level and upper-level undergraduate and graduate students in electrical, mechanical, and computer engineering courses, Introduction to Fuzzy Logic covers topics included in many artificial intelligence, computational intelligence, and soft computing courses. Math students and professionals in a wide variety of fields will also significantly benefit from the material covered in this book.

Author : John Yen
Publisher : Pearson
ISBN 13 :
Total Pages : 586 pages
Book Rating : 4.19/5 ( download)

DOWNLOAD NOW!

Download or read book Fuzzy Logic written by John Yen and published by Pearson. This book was released on 1999 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing equal emphasis on theoretical foundations and practical issues, this book features fuzzy logic concepts and techniques in intelligent systems, control, and information technology. Uses Fuzzy Logic Toolbox MATLAB to demonstrate exemplar applications and to develop hands-on exercises.

Author : Petr Hájek
Publisher : Springer Science & Business Media
ISBN 13 : 9401153000
Total Pages : 304 pages
Book Rating : 4.03/5 ( download)

DOWNLOAD NOW!

Download or read book Metamathematics of Fuzzy Logic written by Petr Hájek and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a systematic treatment of deductive aspects and structures of fuzzy logic understood as many valued logic sui generis. It aims to show that fuzzy logic as a logic of imprecise (vague) propositions does have well-developed formal foundations and that most things usually named ‘fuzzy inference’ can be naturally understood as logical deduction. It is for mathematicians, logicians, computer scientists, specialists in artificial intelligence and knowledge engineering, and developers of fuzzy logic.

Author : George Bojadziev
Publisher : World Scientific
ISBN 13 : 9812770623
Total Pages : 253 pages
Book Rating : 4.22/5 ( download)

DOWNLOAD NOW!

Download or read book Fuzzy Logic for Business, Finance, and Management written by George Bojadziev and published by World Scientific. This book was released on 2007 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems especially when humans are involved. Fuzzy logic uses human experience and judgement to facilitate plausible reasoning in order to reach a conclusion. Emphasis is on applications presented in the 27 case studies including Time Forecasting for Project Management, New Product Pricing, and Control of a Parasit-Pest System.

Author : George J. Klir
Publisher :
ISBN 13 : 9789332549425
Total Pages : 574 pages
Book Rating : 4.27/5 ( download)

DOWNLOAD NOW!

Download or read book Fuzzy Sets and Fuzzy Logic written by George J. Klir and published by . This book was released on 2015 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : James J. Buckley
Publisher : Springer Science & Business Media
ISBN 13 : 3790817996
Total Pages : 285 pages
Book Rating : 4.97/5 ( download)

DOWNLOAD NOW!

Download or read book An Introduction to Fuzzy Logic and Fuzzy Sets written by James J. Buckley and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an excellent starting point for any curriculum in fuzzy systems fields such as computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications. It includes many figures and problem sets at the end of sections.

Author : Barnabas Bede
Publisher : Springer
ISBN 13 : 3642352219
Total Pages : 276 pages
Book Rating : 4.18/5 ( download)

DOWNLOAD NOW!

Download or read book Mathematics of Fuzzy Sets and Fuzzy Logic written by Barnabas Bede and published by Springer. This book was released on 2012-12-14 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a mathematically-based introduction into the fascinating topic of Fuzzy Sets and Fuzzy Logic and might be used as textbook at both undergraduate and graduate levels and also as reference guide for mathematician, scientists or engineers who would like to get an insight into Fuzzy Logic. Fuzzy Sets have been introduced by Lotfi Zadeh in 1965 and since then, they have been used in many applications. As a consequence, there is a vast literature on the practical applications of fuzzy sets, while theory has a more modest coverage. The main purpose of the present book is to reduce this gap by providing a theoretical introduction into Fuzzy Sets based on Mathematical Analysis and Approximation Theory. Well-known applications, as for example fuzzy control, are also discussed in this book and placed on new ground, a theoretical foundation. Moreover, a few advanced chapters and several new results are included. These comprise, among others, a new systematic and constructive approach for fuzzy inference systems of Mamdani and Takagi-Sugeno types, that investigates their approximation capability by providing new error estimates.

Author : Bart Kosko
Publisher : HarperPerennial
ISBN 13 : 9780006547136
Total Pages : 318 pages
Book Rating : 4.33/5 ( download)

DOWNLOAD NOW!

Download or read book Fuzzy Thinking written by Bart Kosko and published by HarperPerennial. This book was released on 1994 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic is the next wave in technology. Japanese electronics giants have, in the last ten years, already staked their commercial future on the benefits of fuzzy production; only recently have European and US companies begun to catch up. Fuzzy logic sanctifies vagueness. It prescribes a new way of thinking about machines, about science, ambiguity, confusion and contradiction.