Fuzzy Reasoning In Information Decision And Control Systems PDF Download
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| Author | : S.G. Tzafestas |
| Publisher | : Springer |
| Total Pages | : 548 |
| Release | : 2007-08-28 |
| Genre | : Technology & Engineering |
| ISBN | : 0585346526 |
Download Fuzzy Reasoning in Information, Decision and Control Systems Book in PDF, ePub and Kindle
Great progresses have been made in the application of fuzzy set theory and fuzzy logic. Most remarkable area of application is 'fuzzy control', where fuzzy logic was first applied to plant control systems and its use is expanding to consumer products. Most of fuzzy control systems uses fuzzy inference with max-min or max-product composition, similar to the algorithm that first used by Mamdani in 1970s. Some algorithms are developed to refine fuzzy controls systems but the main part of algorithm stays the same. Triggered by the success of fuzzy control systems, other ways of applying fuzzy set theory are also investigated. They are usually referred to as 'fuzzy expert sys tems', and their purpose are to combine the idea of fuzzy theory with AI based approach toward knowledge processing. These approaches can be more generally viewed as 'fuzzy information processing', that is to bring fuzzy idea into informa tion processing systems.
| Author | : E. Sanchez |
| Publisher | : Elsevier |
| Total Pages | : 208 |
| Release | : 2014-05-23 |
| Genre | : Computers |
| ISBN | : 1483294382 |
Download Approximate Reasoning in Intelligent Systems, Decision and Control Book in PDF, ePub and Kindle
Documents realistic applications of approximate reasoning techniques, with emphasis placed on operational systems. The papers presented explore new areas of practical decision-making and control systems by considering important aspects of fuzzy logic theory and the latest developments in the field of expert systems. Specific fields of application covered include modelling and control, management, planning, diagnostics, finance and software. Contains 12 papers.
| Author | : J.C. Bezdek |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 527 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 1461552435 |
Download Fuzzy Sets in Approximate Reasoning and Information Systems Book in PDF, ePub and Kindle
Approximate reasoning is a key motivation in fuzzy sets and possibility theory. This volume provides a coherent view of this field, and its impact on database research and information retrieval. First, the semantic foundations of approximate reasoning are presented. Special emphasis is given to the representation of fuzzy rules and specialized types of approximate reasoning. Then syntactic aspects of approximate reasoning are surveyed and the algebraic underpinnings of fuzzy consequence relations are presented and explained. The second part of the book is devoted to inductive and neuro-fuzzy methods for learning fuzzy rules. It also contains new material on the application of possibility theory to data fusion. The last part of the book surveys the growing literature on fuzzy information systems. Each chapter contains extensive bibliographical material. Fuzzy Sets in Approximate Reasoning and Information Systems is a major source of information for research scholars and graduate students in computer science and artificial intelligence, interested in human information processing.
| Author | : H. B. Verbruggen |
| Publisher | : World Scientific |
| Total Pages | : 344 |
| Release | : 1999 |
| Genre | : Technology & Engineering |
| ISBN | : 9789810238254 |
Download Fuzzy Logic Control Book in PDF, ePub and Kindle
Fuzzy logic control has become an important methodology in control engineering. This volume deals with applications of fuzzy logic control in various domains. The contributions are divided into three parts. The first part consists of two state-of-the-art tutorials on fuzzy control and fuzzy modeling. Surveys of advanced methodologies are included in the second part. These surveys address fuzzy decision making and control, fault detection, isolation and diagnosis, complexity reduction in fuzzy systems and neuro-fuzzy methods. The third part contains application-oriented contributions from various fields, such as process industry, cement and ceramics, vehicle control and traffic management, electromechanical and production systems, avionics, biotechnology and medical applications. The book is intended for researchers both from the academic world and from industry.
| Author | : Guanrong Chen |
| Publisher | : CRC Press |
| Total Pages | : 329 |
| Release | : 2000-11-27 |
| Genre | : Mathematics |
| ISBN | : 1420039814 |
Download Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems Book in PDF, ePub and Kindle
In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory and produced many exciting results. Yesterday's "art
| Author | : William Siler |
| Publisher | : John Wiley & Sons |
| Total Pages | : 423 |
| Release | : 2005-02-22 |
| Genre | : Computers |
| ISBN | : 0471698490 |
Download Fuzzy Expert Systems and Fuzzy Reasoning Book in PDF, ePub and Kindle
Hier lernen Sie, Expertensysteme auf der Basis von Fuzzy Logic zu konstruieren, die sich für den praktischen Einsatz eignen. Expertensysteme werden zunächst allgemein definiert, und die zugrundeliegende Mathematik wird eingeführt. Regelbasierte Systeme werden gründlicher besprochen als in jedem anderen Buch mit ähnlichem Thema. Am Ende jedes Kapitels können Sie Ihren Wissensstand anhand von Übungsaufgaben überprüfen. Von einem zugehörigen ftp-Server können Sie Ergänzungsmaterial abrufen. Für Praktiker und Forscher aus dem akademischen Umfeld gleichermaßen geeignet!
| Author | : F. Martin McNeill |
| Publisher | : Academic Press |
| Total Pages | : 317 |
| Release | : 2014-05-10 |
| Genre | : Computers |
| ISBN | : 1483266222 |
Download Fuzzy Logic Book in PDF, ePub and Kindle
Fuzzy Logic: A Practical Approach focuses on the processes and approaches involved in fuzzy logic, including fuzzy sets, numbers, and decisions. The book first elaborates on fuzzy numbers and logic, fuzzy systems on the job, and Fuzzy Knowledge Builder. Discussions focus on formatting the knowledge base for an inference engine, personnel detection system, using a knowledge base in an inference engine, fuzzy business systems, industrial fuzzy systems, fuzzy sets and numbers, and quantifying word-based rules. The text then elaborates on designing a fuzzy decision and Fuzzy Thought Amplifier for complex situations. Topics include origins of cognitive maps, Fuzzy Thought Amplifier, training a map to predict the future, introducing the Fuzzy Decision Maker, and merging interests. The publication takes a look at fuzzy associative memory, fuzzy sets as hypercube points, and disk files and descriptions, including Fuzzy Thought Amplifier, Fuzzy Decision Maker, and composing and creating a memory. The text is a valuable source of data for researchers interested in fuzzy logic.
| Author | : Weiling Chiang |
| Publisher | : World Scientific |
| Total Pages | : 594 |
| Release | : 1995-11-16 |
| Genre | : |
| ISBN | : 9814548375 |
Download Fuzzy Logic For The Applications To Complex Systems: Proceedings Of The International Joint Conference Of Book in PDF, ePub and Kindle
This volume presents an interesting mix of topics on complex systems such as information systems, engineering systems, fuzzy neural systems, image processing, robotics, fuzzy control, genetic algorithms, and fuzzy decision making. The contributions come from 12 countries, and provide a clear picture of fuzzy logic applications worldwide.
| Author | : Didier J. Dubois |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 929 |
| Release | : 2014-05-12 |
| Genre | : Computers |
| ISBN | : 1483214508 |
Download Readings in Fuzzy Sets for Intelligent Systems Book in PDF, ePub and Kindle
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.
| Author | : S.G. Tzafestas |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 573 |
| Release | : 2012-12-06 |
| Genre | : Technology & Engineering |
| ISBN | : 9401154988 |
Download Methods and Applications of Intelligent Control Book in PDF, ePub and Kindle
This book is concerned with Intelligent Control methods and applications. The field of intelligent control has been expanded very much during the recent years and a solid body of theoretical and practical results are now available. These results have been obtained through the synergetic fusion of concepts and techniques from a variety of fields such as automatic control, systems science, computer science, neurophysiology and operational research. Intelligent control systems have to perform anthropomorphic tasks fully autonomously or interactively with the human under known or unknown and uncertain environmental conditions. Therefore the basic components of any intelligent control system include cognition, perception, learning, sensing, planning, numeric and symbolic processing, fault detection/repair, reaction, and control action. These components must be linked in a systematic, synergetic and efficient way. Predecessors of intelligent control are adaptive control, self-organizing control, and learning control which are well documented in the literature. Typical application examples of intelligent controls are intelligent robotic systems, intelligent manufacturing systems, intelligent medical systems, and intelligent space teleoperators. Intelligent controllers must employ both quantitative and qualitative information and must be able to cope with severe temporal and spatial variations, in addition to the fundamental task of achieving the desired transient and steady-state performance. Of course the level of intelligence required in each particular application is a matter of discussion between the designers and users. The current literature on intelligent control is increasing, but the information is still available in a sparse and disorganized way.
