Managing Uncertainty In Expert Systems

Author : Jerzy W. Grzymala-Busse
Publisher : Springer Science & Business Media
Page : 242 pages
File Size : 53,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461539827

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Managing Uncertainty in Expert Systems by Jerzy W. Grzymala-Busse Pdf

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.

Author : Ian Graham,Peter Llewelyn Jones
Publisher : Chapman & Hall
Page : 394 pages
File Size : 42,8 Mb
Release : 1988
Category : Computers
ISBN : UOM:39015012768407

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Expert Systems by Ian Graham,Peter Llewelyn Jones Pdf

A review of the present state of knowledge engineering, drawing together underlying theory from related disciplines, with particular attention to fuzzy logics, the theory of fuzzy sets, and decision support systems, along with practical applications. For managers wishing to evaluate expert decision systems, for systems designers and knowledge engineers, and for advanced undergraduate and graduate students in computer science. Many charts, diagrams, tables, and logical or mathematical formulas; extensive references. Annotation copyrighted by Book News, Inc., Portland, OR

Author : Paul Krause,Dominic Clark
Publisher : Intellect L & D E F A E
Page : 277 pages
File Size : 51,8 Mb
Release : 1993
Category : Computers
ISBN : 187151617X

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Representing Uncertain Knowledge by Paul Krause,Dominic Clark Pdf

Author : Petr Hajek,Tomas Havranek,Radim Jirousek
Publisher : CRC Press
Page : 310 pages
File Size : 54,5 Mb
Release : 1992-06-29
Category : Computers
ISBN : 0849363683

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Uncertain Information Processing In Expert Systems by Petr Hajek,Tomas Havranek,Radim Jirousek Pdf

Uncertain Information Processing in Expert Systems systematically and critically examines probabilistic and rule-based (compositional, MYCIN-like) systems, the two most important families of expert systems dealing with uncertainty. The book features a detailed introduction to probabilistic systems (including methods using graphical models and methods of knowledge integration), an analysis of compositional systems based on algebraic considerations, an application of graphical models, and the Dempster-Shafer theory of evidence and its use in expert systems. The book will be useful to anyone working in artificial intelligence, statistical computing, symbolic logic, and expert systems.

Author : Nouran M. Radwan,M. Badr Senousy,Alaa El Din M. Riad
Publisher : Infinite Study
Page : 10 pages
File Size : 49,5 Mb
Release : 2024-06-06
Category : Electronic
ISBN : 8210379456XXX

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Approaches for Managing Uncertainty in Learning Management Systems by Nouran M. Radwan,M. Badr Senousy,Alaa El Din M. Riad Pdf

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.

Author : Lotfi Asker Zadeh,George J. Klir,Bo Yuan
Publisher : World Scientific
Page : 848 pages
File Size : 41,7 Mb
Release : 1996
Category : Computers
ISBN : 9810224214

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Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems by Lotfi Asker Zadeh,George J. Klir,Bo Yuan Pdf

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.

Author : Amihai Motro,Philippe Smets
Publisher : Springer Science & Business Media
Page : 473 pages
File Size : 55,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461562450

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Uncertainty Management in Information Systems by Amihai Motro,Philippe Smets Pdf

As its title suggests, "Uncertainty Management in Information Systems" is a book about how information systems can be made to manage information permeated with uncertainty. This subject is at the intersection of two areas of knowledge: information systems is an area that concentrates on the design of practical systems that can store and retrieve information; uncertainty modeling is an area in artificial intelligence concerned with accurate representation of uncertain information and with inference and decision-making under conditions infused with uncertainty. New applications of information systems require stronger capabilities in the area of uncertainty management. Our hope is that lasting interaction between these two areas would facilitate a new generation of information systems that will be capable of servicing these applications. Although there are researchers in information systems who have addressed themselves to issues of uncertainty, as well as researchers in uncertainty modeling who have considered the pragmatic demands and constraints of information systems, to a large extent there has been only limited interaction between these two areas. As the subtitle, "From Needs to Solutions," indicates, this book presents view points of information systems experts on the needs that challenge the uncer tainty capabilities of present information systems, and it provides a forum to researchers in uncertainty modeling to describe models and systems that can address these needs.

Author : Anonim
Publisher : Unknown
Page : 285 pages
File Size : 54,7 Mb
Release : 1992
Category : Expert systems (Computer science)
ISBN : LCCN:92045031

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Uncertain Information Processing in Expert Systems by Anonim Pdf

Author : Paul Krause,Dominic Clark
Publisher : Springer Science & Business Media
Page : 287 pages
File Size : 44,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9789401120845

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Representing Uncertain Knowledge by Paul Krause,Dominic Clark Pdf

The representation of uncertainty is a central issue in Artificial Intelligence (AI) and is being addressed in many different ways. Each approach has its proponents, and each has had its detractors. However, there is now an in creasing move towards the belief that an eclectic approach is required to represent and reason under the many facets of uncertainty. We believe that the time is ripe for a wide ranging, yet accessible, survey of the main for malisms. In this book, we offer a broad perspective on uncertainty and approach es to managing uncertainty. Rather than provide a daunting mass of techni cal detail, we have focused on the foundations and intuitions behind the various schools. The aim has been to present in one volume an overview of the major issues and decisions to be made in representing uncertain knowl edge. We identify the central role of managing uncertainty to AI and Expert Systems, and provide a comprehensive introduction to the different aspects of uncertainty. We then describe the rationales, advantages and limitations of the major approaches that have been taken, using illustrative examples. The book ends with a review of the lessons learned and current research di rections in the field. The intended readership will include researchers and practitioners in volved in the design and implementation of Decision Support Systems, Ex pert Systems, other Knowledge-Based Systems and in Cognitive Science.

Author : Efraim Turban
Publisher : Simon & Schuster Books For Young Readers
Page : 1006 pages
File Size : 41,7 Mb
Release : 1995
Category : Business
ISBN : UOM:39076001748891

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Decision Support and Expert Systems by Efraim Turban Pdf

Decision support systems; management support systems: an overview; decision making, systems, modeling, and support; data management; modeling and model management; user interface; constructing a decision support system; organizational DSS and advanced topics; enterprise support systems; Group decision support systems; executive information and support systems; fundamentals of artificial intelligence and expert systems; applied artificial intelligence: an overview; fundamentals of expert systems; knowledge acquisition and validation; knowledge representation; inferences, explanations, and uncertainty; building expert systems: process and tools; cutting edge decision support technologies; neural computing: the basics; neural computing applications, genetic algorithms, and fuzzy logic; integrating and implementation; integrating decision support technologies; Implementing management support systems; organizational and societal impacts of management support systems; appendix and student project.

Author : Amol Deshpande,Anthony Hunter
Publisher : Springer
Page : 389 pages
File Size : 47,7 Mb
Release : 2010-09-17
Category : Computers
ISBN : 9783642159510

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Scalable Uncertainty Management by Amol Deshpande,Anthony Hunter Pdf

Managing uncertainty and inconsistency has been extensively explored in - ti?cial Intelligence over a number of years. Now with the advent of massive amounts of data and knowledge from distributed heterogeneous,and potentially con?icting, sources, there is interest in developing and applying formalisms for uncertainty andinconsistency widelyin systems that need to better managethis data and knowledge. The annual International Conference on Scalable Uncertainty Management (SUM) has grown out of this wide-ranging interest in managing uncertainty and inconsistency in databases, the Web, the Semantic Web, and AI. It aims at bringing together all those interested in the management of large volumes of uncertainty and inconsistency, irrespective of whether they are in databases,the Web, the Semantic Web, or in AI, as well as in other areas such as information retrieval, risk analysis, and computer vision, where signi?cant computational - forts are needed. After a promising First International Conference on Scalable Uncertainty Management was held in Washington DC, USA in 2007, the c- ference series has been successfully held in Napoli, Italy, in 2008, and again in Washington DC, USA, in 2009.

Author : Perry Lee McCarty
Publisher : Unknown
Page : 500 pages
File Size : 54,6 Mb
Release : 1987
Category : Dissertations, Academic
ISBN : UCAL:C2929982

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The Management of Uncertainty in Expert Systems by Perry Lee McCarty Pdf

Author : N. Radwan,M. Badr Senousy,A. E. D. M. Riad,J. M. Jency ,Chunfang Liu,YueSheng Luo, S. Pramanik,N. Shah , F. Smarandache,P. P. Dey
Publisher : Infinite Study
Page : 113 pages
File Size : 47,8 Mb
Release : 2024-06-06
Category : Electronic
ISBN : 8210379456XXX

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Neutrosophic Sets and Systems, vol. 11/2016 by N. Radwan,M. Badr Senousy,A. E. D. M. Riad,J. M. Jency ,Chunfang Liu,YueSheng Luo, S. Pramanik,N. Shah , F. Smarandache,P. P. Dey Pdf

“Neutrosophic Sets and Systems” has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics that started in 1995 and their applications in any field, such as the neutrosophic structures developed in algebra, geometry, topology, etc.

Author : Florentin Smarandache,Mumtaz Ali
Publisher : Infinite Study
Page : 128 pages
File Size : 48,8 Mb
Release : 2024-06-06
Category : Electronic
ISBN : 9781599734675

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Neutrosophic Sets and Systems, book series, Vol. 11, 2016 by Florentin Smarandache,Mumtaz Ali Pdf

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. In first paper, the authors studied Neutrosophic Logic Approach for Evaluating Learning Management Systems. A new method to construct entropy of interval-valued Neutrosophic Set is discussed in the second paper. Adjustable and Mean Potentiality Approach on Decision Making is studied in third paper. In fourth paper, An extended grey relational analysis based multiple attribute decision making are interval neutrosophic uncertain linguistic setting . Similarly in fifth paper, Neutrosophic Soft Graphs is discussed. In paper six, Mapping Causes and Implications of India’s Skewed Sex Ratio and Poverty problem using Fuzzy & Neutrosophic Relational Maps is studied by the author. Refined Neutrosophic Information Based on Truth, Falsity, Ignorance, Contradiction and Hesitation is proposed in the next paper. Point Solution, Line Solution, Plane Solution etc —Expanding Concepts of Equation and Solution with Neutrosophy and Quadstage Method the next paper. Further, Isolated Single Valued Neutrosophic Graphs are discussed by the authors in the tenth paper. In eleventh paper, Neutrosophic Set Approach for Characterizations of Left Almost Semigroups have been studied by the author. In the next paper, Degree of Dependence and Independence of the (Sub)Components of Fuzzy Set and Neutrosophic Set. In thirteenth paper, Neutrosophic Soft Multi Attribute Decision Making Based on Grey Relational Projection Method is introduced by the authors. In fourteenth paper, the author studied The Novel Attempt for Finding Minimum Solution in Fuzzy Neutrosophic Relational Geometric Programming (FNRGP) with (max,min) Composition. In the last paper, Neutrosophic Goal Programming is developed.

Author : H. Katzan
Publisher : CRC Press
Page : 322 pages
File Size : 51,6 Mb
Release : 1992-08-01
Category : Business & Economics
ISBN : 0442011148

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Managing Uncertainty by H. Katzan Pdf

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