Managing Uncertainty in Expert Systems

Managing Uncertainty in Expert Systems
Author :
Publisher : Springer Science & Business Media
Total Pages : 242
Release :
ISBN-10 : 9781461539827
ISBN-13 : 146153982X
Rating : 4/5 (27 Downloads)

Book Synopsis Managing Uncertainty in Expert Systems by : Jerzy W. Grzymala-Busse

Download or read book Managing Uncertainty in Expert Systems written by Jerzy W. Grzymala-Busse and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3. Textbook for a course in expert systems,if an emphasis is placed on Chapters 1 to 3 and on a selection of material from Chapters 4 to 7. There is also the option of using an additional commercially available sheU for a programming project. In assigning a programming project, the instructor may use any part of a great variety of books covering many subjects, such as car repair. Instructions for mostofthe "weekend mechanic" books are close stylisticaUy to expert system rules. Contents Chapter 1 gives an introduction to the subject matter; it briefly presents basic concepts, history, and some perspectives ofexpert systems. Then itpresents the architecture of an expert system and explains the stages of building an expert system. The concept of uncertainty in expert systems and the necessity of deal ing with the phenomenon are then presented. The chapter ends with the descrip tion of taxonomy ofexpert systems. Chapter 2 focuses on knowledge representation. Four basic ways to repre sent knowledge in expert systems are presented: first-order logic, production sys tems, semantic nets, and frames. Chapter 3 contains material about knowledge acquisition. Among machine learning techniques, a methodofrule learning from examples is explained in de tail. Then problems ofrule-base verification are discussed. In particular, both consistency and completeness oftherule base are presented.

Fuzzy Sets, Fuzzy Logic, And Fuzzy Systems: Selected Papers By Lotfi A Zadeh

Fuzzy Sets, Fuzzy Logic, And Fuzzy Systems: Selected Papers By Lotfi A Zadeh
Author :
Publisher : World Scientific
Total Pages : 842
Release :
ISBN-10 : 9789814499811
ISBN-13 : 9814499811
Rating : 4/5 (11 Downloads)

Book Synopsis Fuzzy Sets, Fuzzy Logic, And Fuzzy Systems: Selected Papers By Lotfi A Zadeh by : George J Klir

Download or read book Fuzzy Sets, Fuzzy Logic, And Fuzzy Systems: Selected Papers By Lotfi A Zadeh written by George J Klir and published by World Scientific. This book was released on 1996-05-30 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of selected papers written by the founder of fuzzy set theory, Lotfi A Zadeh. Since Zadeh is not only the founder of this field, but has also been the principal contributor to its development over the last 30 years, the papers contain virtually all the major ideas in fuzzy set theory, fuzzy logic, and fuzzy systems in their historical context. Many of the ideas presented in the papers are still open to further development. The book is thus an important resource for anyone interested in the areas of fuzzy set theory, fuzzy logic, and fuzzy systems, as well as their applications. Moreover, the book is also intended to play a useful role in higher education, as a rich source of supplementary reading in relevant courses and seminars.The book contains a bibliography of all papers published by Zadeh in the period 1949-1995. It also contains an introduction that traces the development of Zadeh's ideas pertaining to fuzzy sets, fuzzy logic, and fuzzy systems via his papers. The ideas range from his 1965 seminal idea of the concept of a fuzzy set to ideas reflecting his current interest in computing with words — a computing in which linguistic expressions are used in place of numbers.Places in the papers, where each idea is presented can easily be found by the reader via the Subject Index.

Expert Systems and Probabilistic Network Models

Expert Systems and Probabilistic Network Models
Author :
Publisher : Springer Science & Business Media
Total Pages : 612
Release :
ISBN-10 : 9781461222705
ISBN-13 : 1461222702
Rating : 4/5 (05 Downloads)

Book Synopsis Expert Systems and Probabilistic Network Models by : Enrique Castillo

Download or read book Expert Systems and Probabilistic Network Models written by Enrique Castillo and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods for incorporating uncertainty into models. This book is devoted to providing a thorough and up-to-date survey of this field for researchers and students.

Approaches for Managing Uncertainty in Learning Management Systems

Approaches for Managing Uncertainty in Learning Management Systems
Author :
Publisher : Infinite Study
Total Pages : 10
Release :
ISBN-10 :
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Approaches for Managing Uncertainty in Learning Management Systems by : Nouran M. Radwan

Download or read book Approaches for Managing Uncertainty in Learning Management Systems written by Nouran M. Radwan and published by Infinite Study. This book was released on with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: The notion of uncertainty in expert systems is dealing with vague data, incomplete information, and imprecise knowledge. Different uncertainty types which are imprecision, vagueness, ambiguity, and inconsistence need different handling models. Uncertain knowledge representation and analysis is an essential issue.

Managing Uncertainty in Expert Systems

Managing Uncertainty in Expert Systems
Author :
Publisher :
Total Pages : 248
Release :
ISBN-10 : 1461539838
ISBN-13 : 9781461539834
Rating : 4/5 (38 Downloads)

Book Synopsis Managing Uncertainty in Expert Systems by : Jerzy W Grzymala-Busse

Download or read book Managing Uncertainty in Expert Systems written by Jerzy W Grzymala-Busse and published by . This book was released on 1991-07-31 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Probabilistic Networks and Expert Systems

Probabilistic Networks and Expert Systems
Author :
Publisher : Springer Science & Business Media
Total Pages : 340
Release :
ISBN-10 : 0387718230
ISBN-13 : 9780387718231
Rating : 4/5 (30 Downloads)

Book Synopsis Probabilistic Networks and Expert Systems by : Robert G. Cowell

Download or read book Probabilistic Networks and Expert Systems written by Robert G. Cowell and published by Springer Science & Business Media. This book was released on 2007-07-16 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms. The book will be of interest to researchers in both artificial intelligence and statistics, who desire an introduction to this fascinating and rapidly developing field. The book, winner of the DeGroot Prize 2002, the only book prize in the field of statistics, is new in paperback.

Fuzzy Expert Systems for Disease Diagnosis

Fuzzy Expert Systems for Disease Diagnosis
Author :
Publisher : IGI Global
Total Pages : 420
Release :
ISBN-10 : 9781466672413
ISBN-13 : 1466672412
Rating : 4/5 (13 Downloads)

Book Synopsis Fuzzy Expert Systems for Disease Diagnosis by : Kumar, A.V. Senthil

Download or read book Fuzzy Expert Systems for Disease Diagnosis written by Kumar, A.V. Senthil and published by IGI Global. This book was released on 2014-11-30 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.