Fuzzy Expert Systems And Fuzzy Reasoning

Author : William Siler,James J. Buckley
Publisher : John Wiley & Sons
Page : 423 pages
File Size : 41,9 Mb
Release : 2005-02-22
Category : Computers
ISBN : 9780471698494

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Fuzzy Expert Systems and Fuzzy Reasoning by William Siler,James J. Buckley Pdf

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 : Hans-Jürgen Zimmermann
Publisher : Springer Science & Business Media
Page : 342 pages
File Size : 50,6 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9789400932494

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Fuzzy Sets, Decision Making, and Expert Systems by Hans-Jürgen Zimmermann Pdf

In the two decades since its inception by L. Zadeh, the theory of fuzzy sets has matured into a wide-ranging collection of concepts, models, and tech niques for dealing with complex phenomena which do not lend themselves to analysis by classical methods based on probability theory and bivalent logic. Nevertheless, a question which is frequently raised by the skeptics is: Are there, in fact, any significant problem areas in which the use of the theory of fuzzy sets leads to results which could not be obtained by classical methods? The approximately 5000 publications in this area, which are scattered over many areas such as artificial intelligence, computer science, control engineering, decision making, logic, operations research, pattern recognition, robotics and others, provide an affirmative answer to this question. In spite of the large number of publications, good and comprehensive textbooks which could facilitate the access of newcomers to this area and support teaching were missing until recently. To help to close this gap and to provide a textbook for courses in fuzzy set theory which can also be used as an introduction to this field, the first volume ofthis book was published in 1985 [Zimmermann 1985 b]. This volume tried to cover fuzzy set theory and its applications as extensively as possible. Applications could, therefore, only be described to a limited extent and not very detailed.

Author : Constantin Virgil Negoiță
Publisher : Benjamin-Cummings Publishing Company
Page : 216 pages
File Size : 42,8 Mb
Release : 1985
Category : Computers
ISBN : UOM:39015006431624

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Expert Systems and Fuzzy Systems by Constantin Virgil Negoiță Pdf

Exact and inexact reasoning in knowledge engineering; Fuzzy sets; knowledge representation; Aproximate reasoning; Knowledge engineering in decision support systems; Knowledge engineering in management expert systems; The categorial analysis of logic; Bibliography; Index.

Author : Abraham Kandel
Publisher : CRC Press
Page : 344 pages
File Size : 54,6 Mb
Release : 1991-11-12
Category : Computers
ISBN : 084934297X

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Fuzzy Expert Systems by Abraham Kandel Pdf

Until recently, fuzzy logic was the intellectual plaything of a handful of researchers. Now it is being used to enhance the power of intelligent systems, as well as improve the performance and reduce the cost of intelligent and "smart" products appearing in the commercial market. Fuzzy Expert Systems focuses primarily on the theory of fuzzy expert systems and their applications in science and engineering. In doing so, it provides the first comprehensive study of "soft" expert systems and applications for those systems. Topics covered include general purpose fuzzy expert systems, processing imperfect information using structured frameworks, the fuzzy linguistic inference network generator, fuzzy associative memories, the role of approximate reasoning in medical expert systems, MILORD (a fuzzy expert systems shell), and COMAX (an autonomous fuzzy expert system for tactical communications networks. Fuzzy Expert Systems provides an invaluable reference resource for researchers and students in artificial intelligence (AI) and approximate reasoning (AR), as well as for other researchers looking for methods to apply similar tools in their own designs of intelligent systems.

Author : Moti Schneider
Publisher : John Wiley & Sons
Page : 226 pages
File Size : 40,5 Mb
Release : 1996-08-06
Category : Computers
ISBN : UOM:39015037804575

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Fuzzy Expert System Tools by Moti Schneider Pdf

Fuzzy set theory is a mathematical structure for representing uncertainty. Modern intelligent systems must combine knowledge based on techniques for gathering and processing information with methods of approximate reasoning. This enables an intelligent system to better emulate human decision-making in uncertain environments. Complimentary to the text is a software package containing executable FEST code. The text contains a detailed description of FEST and its coherent and systematic exploitation.

Author : S.G. Tzafestas,Anastasios N. Venetsanopoulos
Publisher : Springer
Page : 548 pages
File Size : 40,9 Mb
Release : 2007-08-28
Category : Technology & Engineering
ISBN : 9780585346526

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Fuzzy Reasoning in Information, Decision and Control Systems by S.G. Tzafestas,Anastasios N. Venetsanopoulos Pdf

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 : Toshiro Terano,Kiyoji Asai,Michio Sugeno
Publisher : Academic Press
Page : 315 pages
File Size : 44,8 Mb
Release : 2014-05-10
Category : Technology & Engineering
ISBN : 9781483262932

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Applied Fuzzy Systems by Toshiro Terano,Kiyoji Asai,Michio Sugeno Pdf

Applied Fuzzy Systems provides information pertinent to the fundamental aspects of fuzzy systems theory and its application. This book discusses the development of high-level artificial intelligence and information processing systems, as well as the realization of fuzzy computers. Organized into six chapters, this book begins with an overview of the fundamental problems addressed by fuzzy systems. This text then reviews standard computer logic or two-valued Boolean algebra. Other chapters consider bus scheduling, evaluation of structural reliability, applications of schema systems for decision-making, and processing of natural-language information and systems for medical diagnosis as examples of fuzzy expert systems. This book discusses as well a practical fuzzy expert system for durability evaluations of reinforced concrete slabs for bridges, along with an example of application. The final chapter deals with the important parts of the construction of fuzzy computers, their architecture, and the outlook for the future. This book is a valuable resource for engineers, mathematicians, technicians, and research workers.

Author : E. Chandrasekaran,R. Anandan,G. Suseendran,S. Balamurugan,Hanaa Hachimi
Publisher : John Wiley & Sons
Page : 482 pages
File Size : 53,8 Mb
Release : 2021-09-08
Category : Computers
ISBN : 9781119760450

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Fuzzy Intelligent Systems by E. Chandrasekaran,R. Anandan,G. Suseendran,S. Balamurugan,Hanaa Hachimi Pdf

FUZZY INTELLIGENT SYSTEMS A comprehensive guide to Expert Systems and Fuzzy Logic that is the backbone of artificial intelligence. The objective in writing the book is to foster advancements in the field and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and those in education and research covering a broad cross section of technical disciplines. Fuzzy Intelligent Systems: Methodologies, Techniques, and Applications comprises state-of-the-art chapters detailing how expert systems are built and how the fuzzy logic resembling human reasoning, powers them. Engineers, both current and future, need systematic training in the analytic theory and rigorous design of fuzzy control systems to keep up with and advance the rapidly evolving field of applied control technologies. As a consequence, expert systems with fuzzy logic capabilities make for a more versatile and innovative handling of problems. This book showcases the combination of fuzzy logic and neural networks known as a neuro-fuzzy system, which results in a hybrid intelligent system by combining a human-like reasoning style of neural networks. Audience Researchers and students in computer science, Internet of Things, artificial intelligence, machine learning, big data analytics and information and communication technology-related fields. Students will gain a thorough understanding of fuzzy control systems theory by mastering its contents.

Author : I. Gupta,G. Nagpal
Publisher : Mercury Learning and Information
Page : 443 pages
File Size : 54,8 Mb
Release : 2020-04-06
Category : Computers
ISBN : 9781683925064

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Artificial Intelligence and Expert Systems by I. Gupta,G. Nagpal Pdf

This book is designed to identify some of the current applications and techniques of artificial intelligence as an aid to solving problems and accomplishing tasks. It provides a general introduction to the various branches of AI which include formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic, etc. The book has been structured into five parts with an emphasis on expert systems: problems and state space search, knowledge engineering, neural networks, fuzzy logic, and Prolog. Features: Introduces the various branches of AI which include formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic, etc. Includes a separate chapter on Prolog to introduce basic programming techniques in AI

Author : Kumar, A.V. Senthil
Publisher : IGI Global
Page : 401 pages
File Size : 53,9 Mb
Release : 2014-11-30
Category : Medical
ISBN : 9781466672413

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Fuzzy Expert Systems for Disease Diagnosis by Kumar, A.V. Senthil Pdf

The development of fuzzy expert systems has provided new opportunities for problem solving amidst uncertainties. The medical field, in particular, has benefitted tremendously from advancing fuzzy system technologies. Fuzzy Expert Systems for Disease Diagnosis highlights the latest research and developments in fuzzy rule-based methods used in the detection of medical complications and illness. Offering emerging solutions and practical applications, this timely publication is designed for use by researchers, academicians, and students, as well as practitioners in the medical field.

Author : E. Sanchez,L.A. Zadeh
Publisher : Elsevier
Page : 208 pages
File Size : 50,5 Mb
Release : 2014-05-23
Category : Computers
ISBN : 9781483294384

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Approximate Reasoning in Intelligent Systems, Decision and Control by E. Sanchez,L.A. Zadeh Pdf

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 : Anonim
Publisher : BoD – Books on Demand
Page : 186 pages
File Size : 54,8 Mb
Release : 2020-02-05
Category : Mathematics
ISBN : 9781789842319

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Fuzzy Logic by Anonim Pdf

This book promotes new research results in the field of advanced fuzzy logic applications. The book has eight chapters, with the following thematic areas: fuzzy mathematics, adaptive neuro-fuzzy inference system, inference methods, expert systems, electrical systems, and application in management and field-programmable gate array. The introductory chapter aims to recall some algebraic relations that describe fuzzy rule bases and fuzzy blocks as algebraic applications. Other works presented are: a study on the convergence of sequence spaces with respect to intuitionistic fuzzy norms and their topological and algebraic properties; an ANFIS application to identifying the online bearing fault; methods of conditional inference for fuzzy control systems; an application of fuzzy logic and fuzzy expert systems in material synthesis methods; control of electrical systems in conditions of incomplete information regarding the values of diagnostic parameters; a methodology for evaluating the causality of factors in organization management; and a technical study on the functional safety of an FPGA fuzzy logic controller. The authors have published worked examples and case studies resulting from their research in the field. Readers will have access to new solutions and answers to questions related to the emerging field of theoretical fuzzy logic applications and their implementation.

Author : Madan M. Gupta
Publisher : North Holland
Page : 864 pages
File Size : 55,5 Mb
Release : 1985
Category : Computers
ISBN : UOM:39015009826184

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Approximate Reasoning in Expert Systems by Madan M. Gupta Pdf

Author : Didier J. Dubois,Henri Prade,Ronald R. Yager
Publisher : Morgan Kaufmann
Page : 929 pages
File Size : 47,7 Mb
Release : 2014-05-12
Category : Computers
ISBN : 9781483214504

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Readings in Fuzzy Sets for Intelligent Systems by Didier J. Dubois,Henri Prade,Ronald R. Yager Pdf

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 : F. Martin McNeill,Ellen Thro
Publisher : Academic Press
Page : 317 pages
File Size : 53,9 Mb
Release : 2014-05-10
Category : Computers
ISBN : 9781483266220

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Fuzzy Logic by F. Martin McNeill,Ellen Thro Pdf

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.