Download or read book Approximate Reasoning in Expert Systems written by and published by . This book was released on 1985 with total page 835 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Approximate Reasoning in Intelligent Systems Decision and Control written by E. Sanchez and published by Elsevier. This book was released on 2014-05-23 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Fuzzy Sets in Approximate Reasoning and Information Systems written by J.C. Bezdek and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book A Quantitative Approach to Approximate Reasoning in Rule based Expert Systems written by Henri Prade and published by . This book was released on 1985 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Approximate Reasoning in Expert Systems written by Madan M. Gupta and published by North Holland. This book was released on 1985 with total page 864 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fuzzy Expert Systems written by Abraham Kandel and published by CRC Press. This book was released on 1991-11-12 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Fuzzy Expert Systems and Fuzzy Reasoning written by William Siler and published by Wiley-Interscience. This book was released on 2005 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Coverage is accessible to practitioners and academic readers alike. * Features end-of-chapter problems with answers provided in an appendix. * Includes discussions of rule-based systems not available in any other book. * Includes problem sets and tutorial programs available on the Wiley ftp site.
Download or read book Approximate Reasoning in Expert System written by and published by . This book was released on 1985 with total page 835 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Approximate Reasoning Models written by Ramon López de Mántaras and published by Ellis Horwood. This book was released on 1990 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Expert Systems and Fuzzy Systems written by Constantin Virgil Negoiță and published by Benjamin-Cummings Publishing Company. This book was released on 1985 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Approximate Reasoning by Parts written by Lech Polkowski and published by Springer Science & Business Media. This book was released on 2011-08-27 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: The monograph offers a view on Rough Mereology, a tool for reasoning under uncertainty, which goes back to Mereology, formulated in terms of parts by Lesniewski, and borrows from Fuzzy Set Theory and Rough Set Theory ideas of the containment to a degree. The result is a theory based on the notion of a part to a degree. One can invoke here a formula Rough: Rough Mereology : Mereology = Fuzzy Set Theory : Set Theory. As with Mereology, Rough Mereology finds important applications in problems of Spatial Reasoning, illustrated in this monograph with examples from Behavioral Robotics. Due to its involvement with concepts, Rough Mereology offers new approaches to Granular Computing, Classifier and Decision Synthesis, Logics for Information Systems, and are--formulation of well--known ideas of Neural Networks and Many Agent Systems. All these approaches are discussed in this monograph. To make the exposition self--contained, underlying notions of Set Theory, Topology, and Deductive and Reductive Reasoning with emphasis on Rough and Fuzzy Set Theories along with a thorough exposition of Mereology both in Lesniewski and Whitehead--Leonard--Goodman--Clarke versions are discussed at length. It is hoped that the monograph offers researchers in various areas of Artificial Intelligence a new tool to deal with analysis of relations among concepts.
Download or read book Approximate Reasoning in Decision Analysis written by Madan M. Gupta and published by North Holland. This book was released on 1982 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handling Uncertainty in Expert Systems Through the Use of Certainty Factors and Approximate Reasoning written by Michael L. Lorenz and published by . This book was released on 1993 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fuzzy Expert Systems and Fuzzy Reasoning written by William Siler and published by John Wiley & Sons. This book was released on 2005-02-22 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!
Download or read book Automated Theorem Proving in the Theory of Approximate Reasoning with Applications to Logic Programming and Expert Systems written by and published by . This book was released on 1991 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary objective of this project is to develop a new model of natural human reasoning with imprecise linguistic information. Key to this model is a collection of abstraction mechanisms based on the concept of a linguistic variable, which was first introduced for this purpose within the context of a semantics based on fuzzy sets. The present approach differs from the earlier one, however, in that (1) it does not require the use of fuzzy sets for the interpretation of linguistic terms, and (2) the meanings of logical inferences are given as algorithms which act directly on terms themselves, rather than on their underlying interpretations. Thus this work constitutes a return to the more purely symbolic or aziomatic representations of logical deduction, whereas the fuzzy-sets model concerns denotational or semantic representations. The new model should not be viewed as a negation of the earlier approaches, however, but as an augmentation of them. The present work is intended as the beginning of a larger system which encompasses both styles of reasoning. Also underway is development of a prototype expert system shell which implements the new model, together with some of the earlier forms of fuzzy inference. This part of the work is being undertaken in part to identify the problems associated with the task of implementation and in this manner demonstrate that implementation is indeed possible. Development of the prototype is also desired so as to experiment with the model and determine its viability as a basis for reasoning in specific problem domains.
Download or read book A Toolkit for Uncertainty Reasoning and Representation Using Fuzzy Set Theory in PROLOG Expert Systems written by Marcelle M. Bicker and published by . This book was released on 1987 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This thesis examines the issue of uncertainty reasoning and representation in expert systems. Uncertainty and expert systems are defined. The value of uncertainty in expert systems as an approximation of human reasoning is stressed. Five alternative methods of dealing with uncertainty are explored. These include Bayesian probabilities, Mycin confirmation theory, fuzzy set theory, Dempster-Shafer's theory of evidence and a theory of endorsements. A toolkit to apply uncertainty processing in PROLOG expert systems is developed using fuzzy set theory as the basis for uncertainty reasoning and representation. The concepts of fuzzy logic and approximate reasoning are utilized in the implementation. The toolkit is written in C-PROLOG for the PYRAMID UNIX system at the Rochester Institute of Technology."--Abstract.
Download or read book Approximate Reasoning with Temporal and Spatial Concepts written by Soumitra Dutta and published by . This book was released on 1989 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt:
