Managing Uncertainty In Expert Systems
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Managing Uncertainty In Expert Systems
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Author : Jerzy W. Grzymala-Busse
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Managing Uncertainty In Expert Systems written by Jerzy W. Grzymala-Busse and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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.
Managing Uncertainty In Expert Systems
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Author : David C. Knue
language : en
Publisher:
Release Date : 1986
Managing Uncertainty In Expert Systems written by David C. Knue and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Expert systems (Computer science) categories.
A study of using probability to manage uncertainty in expert systems is presented. The study begins with a comprehensive summary of the literature on applying numeric techniques to manage uncertainty in expert systems. In addition to probability, fuzzy sets, certainty factors, and belief functions are addressed. basic principles and rules of information combination for each technique are discussed. The Lindley scoring rule argument for why probability is mathematically techniques is reviewed. The issues why using probability is considered to be a hindrance to managing uncertainty in expert systems are also reviewed. A simple expert system is developed using a state of the art expert system building tool called ALTERID. ALTERID is unique in that it unifies logical and probabilistic inference. This simple expert system is used to explore how probability theory can be used to manage the uncertainty in expert systems. The simple ALTERID based expert system is also used to evaluate the aforementioned issues for using probability to manage uncertainty in expert systems. Keywords: artificial intelligence Bayes theorem; decision analysis; theses.
Managing Uncertainty In Expert Systems
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Author : Jerzy W Grzymala-Busse
language : en
Publisher:
Release Date : 1991-07-31
Managing Uncertainty In Expert Systems written by Jerzy W Grzymala-Busse and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-07-31 with categories.
Approaches For Managing Uncertainty In Learning Management Systems
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Author : Nouran M. Radwan
language : en
Publisher: Infinite Study
Release Date :
Approaches For Managing Uncertainty In Learning Management Systems written by Nouran M. Radwan and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
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
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Author : David C. Knue (CAPT, USAF.)
language : en
Publisher:
Release Date : 1986
Managing Uncertainty In Expert Systems written by David C. Knue (CAPT, USAF.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Artificial intelligence categories.
Managing Uncertainty
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Author : H. Katzan
language : en
Publisher: CRC Press
Release Date : 1992-08-01
Managing Uncertainty written by H. Katzan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-08-01 with Business & Economics categories.
A guide to using the computer to come to terms with the risk, insecurity, and ambivalence that are encountered in businesses in a wide range of fields. Matching management techniques with computational equivalents, shows how to use both conflicting and confirming evidence from independent sources to induce, infer, and predict, in ways that will improve decision making. Includes several programs. Annotation copyright by Book News, Inc., Portland, OR
Handbook Of Defeasible Reasoning And Uncertainty Management Systems
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Author : Dov M. Gabbay
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Handbook Of Defeasible Reasoning And Uncertainty Management Systems written by Dov M. Gabbay and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Mathematics categories.
Reasoning under uncertainty is always based on a specified language or for malism, including its particular syntax and semantics, but also on its associated inference mechanism. In the present volume of the handbook the last aspect, the algorithmic aspects of uncertainty calculi are presented. Theory has suffi ciently advanced to unfold some generally applicable fundamental structures and methods. On the other hand, particular features of specific formalisms and ap proaches to uncertainty of course still influence strongly the computational meth ods to be used. Both general as well as specific methods are included in this volume. Broadly speaking, symbolic or logical approaches to uncertainty and nu merical approaches are often distinguished. Although this distinction is somewhat misleading, it is used as a means to structure the present volume. This is even to some degree reflected in the two first chapters, which treat fundamental, general methods of computation in systems designed to represent uncertainty. It has been noted early by Shenoy and Shafer, that computations in different domains have an underlying common structure. Essentially pieces of knowledge or information are to be combined together and then focused on some particular question or domain. This can be captured in an algebraic structure called valuation algebra which is described in the first chapter. Here the basic operations of combination and focus ing (marginalization) of knowledge and information is modeled abstractly subject to simple axioms.
Fuzzy Expert Systems For Disease Diagnosis
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Author : Kumar, A.V. Senthil
language : en
Publisher: IGI Global
Release Date : 2014-11-30
Fuzzy Expert Systems For Disease Diagnosis written by Kumar, A.V. Senthil and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-30 with Medical categories.
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.
Expert Systems
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Author : Nikolopoulos
language : en
Publisher: CRC Press
Release Date : 1997-01-10
Expert Systems written by Nikolopoulos and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-01-10 with Technology & Engineering categories.
Offering an introduction to the field of expert/knowledge based systems, this text covers current and emerging trends as well as future research areas. It considers both the system shell and programming environment approaches to expert system development.;College or university bookshops may order five or more copies at a special student price. Price is available on request.
Neutrosophic Sets And Systems Book Series Vol 11 2016
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Author : Florentin Smarandache
language : en
Publisher: Infinite Study
Release Date : 2016-06-01
Neutrosophic Sets And Systems Book Series Vol 11 2016 written by Florentin Smarandache and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-01 with Mathematics categories.
This volume is a collection of fourteen papers, written by different authors and co-authors (listed in the order of the papers): N. Radwan, M. Badr Senousy, A. E. D. M. Riad, Chunfang Liu, YueSheng Luo, J. M. Jency, I. Arockiarani, P. P. Dey, S. Pramanik, B. C. Giri, N. Shah, A. Hussain, Gaurav, M. Kumar, K. Bhutani S. Aggarwal, V. Pătraşcu, F. Yuhua, S. Broumi, A. Bakali, M. Talea, F. Smarandache, M. Khan, S. Afzal, H. E. Khalid, M. A. Baset ,I. M. Hezam.