Fuzzy Switching and Automata
Author : Abraham Kandel
Publisher : Crane Russak, Incorporated
Page : 328 pages
File Size : 28,65 MB
Release : 1979
Category : Computers
ISBN :
First Course on Fuzzy Theory and Applications
Author : Kwang Hyung Lee
Publisher : Springer Science & Business Media
Page : 341 pages
File Size : 25,6 MB
Release : 2006-11-30
Category : Computers
ISBN : 354032366X
Book Description
Fuzzy theory has become a subject that generates much interest among the courses for graduate students. However, it was not easy to find a suitable textbook to use in the introductory course and to recommend to the students who want to self-study. The main purpose of this book is just to meet that need. The author has given lectures on the fuzzy theory and its applications for ten years and continuously developed lecture notes on the subject. This book is a publication of the modification and summary of the lecture notes. The fundamental idea of the book is to provide basic and concrete concepts of the fuzzy theory and its applications, and thus the author focused on easy illustrations of the basic concepts. There are numerous examples and figures to help readers to understand and also added exercises at the end of each chapter. This book consists of two parts: a theory part and an application part. The first part (theory part) includes chapters from 1 to 8. Chapters 1 and 2 introduce basic concepts of fuzzy sets and operations, and Chapters 3 and 4 deal with the multi-dimensional fuzzy sets. Chapters 5 and 6 are extensions of the fuzzy theory to the number and function, and Chapters 7 and 8 are developments of fuzzy properties on the probability and logic theories.
Fuzzy Automata and Languages
Author : John N. Mordeson
Publisher : CRC Press
Page : 577 pages
File Size : 44,20 MB
Release : 2002-03-19
Category : Computers
ISBN : 1420035649
Book Description
Fuzzy Automata Theory offers the first in-depth treatment of the theory and mathematics of fuzzy automata and fuzzy languages. It effectively compares and contrasts the different approaches used in fuzzy mathematics and automata and includes complete proofs of the theoretical results presented. More than 60 figures and 125 examples illustrate the results, and exercises in each chapter serve not only to test understanding, but also to present material not covered in detail within the text. Although the book is theoretical in nature, the authors also discuss applications in a variety of fields, including databases, medicine, learning systems, and pattern recognition.
Intelligent Systems
Author : Cornelius T. Leondes
Publisher : CRC Press
Page : 2400 pages
File Size : 20,70 MB
Release : 2018-10-08
Category : Technology & Engineering
ISBN : 1420040812
Book Description
Intelligent systems, or artificial intelligence technologies, are playing an increasing role in areas ranging from medicine to the major manufacturing industries to financial markets. The consequences of flawed artificial intelligence systems are equally wide ranging and can be seen, for example, in the programmed trading-driven stock market crash of October 19, 1987. Intelligent Systems: Technology and Applications, Six Volume Set connects theory with proven practical applications to provide broad, multidisciplinary coverage in a single resource. In these volumes, international experts present case-study examples of successful practical techniques and solutions for diverse applications ranging from robotic systems to speech and signal processing, database management, and manufacturing.
Fuzzy Systems
Author : Hung T. Nguyen
Publisher : Springer Science & Business Media
Page : 532 pages
File Size : 11,57 MB
Release : 2012-12-06
Category : Mathematics
ISBN : 1461555051
Book Description
The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where many applications, especially industrial ones, have made fuzzy logic famous. This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as: Use of fuzzy logic in various control systems. Fuzzy rule-based modeling and its universal approximation properties. Learning and tuning techniques for fuzzy models, using neural networks and genetic algorithms. Fuzzy control methods, including issues such as stability analysis and design techniques, as well as the relationship with traditional linear control. Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions. Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control.
Fuzzy Sets
Author : Paul Wang
Publisher : Springer Science & Business Media
Page : 406 pages
File Size : 25,59 MB
Release : 2012-12-06
Category : Business & Economics
ISBN : 1468438484
Book Description
As the systems which form the fabric of modern society become more complex and more interdependent, the need for the understanding of the behavior of such systems becomes increasingly more essential. What are the causes and possible cures for the worldwide inflation which is posing a serious threat to the economic stability and social order of both developed and underdeveloped countries? What are the trade-offs between the urgent need for additional sources of energy and the risks posed by the proliferation of nuclear reactors? How can one devise mass transportation systems which are fast, comforta ble, convenient, and yet not prohibitively expensive? These issues are but some of the more visible problems posed by what might be called the crisis of undercoordination--a crisis rooted in the widen ing gap between the degree of interdependence in the systems of modern society and the degree of coordination which libertarian societies are willing to tolerate. The disquieting implication of this crisis is that to achieve stability through coordination may necessitate the imposition of pervasive controls which may be hard to accept by societies steeped in the democratic tradition. Viewed in this perspective, the need for developing a better understanding of the behavior of large-scale societal systems presents a problem of much more than purely academic importance.
Computational Intelligence. Theory and Applications
Author : Bernd Reusch
Publisher : Springer Science & Business Media
Page : 1020 pages
File Size : 32,37 MB
Release : 2001-09-26
Category : Computers
ISBN : 3540427325
Book Description
This book constitutes the refereed proceedings of the International Conference on Computational Intelligence, 7th Dortmund Fuzzy Days, held in Dortmund, Germany, in October 2001. The 71 revised full papers presented were carefully reviewed and selected from an overwhelming number of submissions. Also included are four invited contributions and 24 poster presentations. The papers are devoted to foundational and practical issues in fuzzy systems, soft computing, neural networks, evolutionary algorithms, and machine learning and thus cover the whole range of computational intelligence.
Fuzzy Sets and Systems
Author : Didier J. Dubois
Publisher : Academic Press
Page : 413 pages
File Size : 15,95 MB
Release : 1980-12-01
Category : Mathematics
ISBN : 0080917720
Book Description
Fuzzy Sets and Systems
Readings in Fuzzy Sets for Intelligent Systems
Author : Didier J. Dubois
Publisher : Morgan Kaufmann
Page : 929 pages
File Size : 34,93 MB
Release : 2014-05-12
Category : Computers
ISBN : 1483214508
Book Description
Readings in Fuzzy Sets for Intelligent Systems is a collection of readings that explore the main facets of fuzzy sets and possibility theory and their use in intelligent systems. Basic notions in fuzzy set theory are discussed, along with fuzzy control and approximate reasoning. Uncertainty and informativeness, information processing, and membership, cognition, neural networks, and learning are also considered. Comprised of eight chapters, this book begins with a historical background on fuzzy sets and possibility theory, citing some forerunners who discussed ideas or formal definitions very close to the basic notions introduced by Lotfi Zadeh (1978). The reader is then introduced to fundamental concepts in fuzzy set theory, including symmetric summation and the setting of fuzzy logic; uncertainty and informativeness; and fuzzy control. Subsequent chapters deal with approximate reasoning; information processing; decision and management sciences; and membership, cognition, neural networks, and learning. Numerical methods for fuzzy clustering are described, and adaptive inference in fuzzy knowledge networks is analyzed. This monograph will be of interest to both students and practitioners in the fields of computer science, information science, applied mathematics, and artificial intelligence.
Fuzzy Logic and Mathematics
Author : Radim Belohlavek
Publisher : Oxford University Press
Page : 545 pages
File Size : 48,91 MB
Release : 2017-05-03
Category : Philosophy
ISBN : 019066570X
Book Description
The term "fuzzy logic," as it is understood in this book, stands for all aspects of representing and manipulating knowledge based on the rejection of the most fundamental principle of classical logic---the principle of bivalence. According to this principle, each declarative sentence is required to be either true or false. In fuzzy logic, these classical truth values are not abandoned. However, additional, intermediate truth values between true and false are allowed, which are interpreted as degrees of truth. This opens a new way of thinking---thinking in terms of degrees rather than absolutes. For example, it leads to the definition of a new kind of sets, referred to as fuzzy sets, in which membership is a matter of degree. The book examines the genesis and development of fuzzy logic. It surveys the prehistory of fuzzy logic and inspects circumstances that eventually lead to the emergence of fuzzy logic. The book explores in detail the development of propositional, predicate, and other calculi that admit degrees of truth, which are known as fuzzy logic in the narrow sense. Fuzzy logic in the broad sense, whose primary aim is to utilize degrees of truth for emulating common-sense human reasoning in natural language, is scrutinized as well. The book also examines principles for developing mathematics based on fuzzy logic and provides overviews of areas in which this has been done most effectively. It also presents a detailed survey of established and prospective applications of fuzzy logic in various areas of human affairs, and provides an assessment of the significance of fuzzy logic as a new paradigm.
