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Monday, July 27, 2020 | History

10 edition of A methodology for uncertainty in knowledge-based systems found in the catalog.

A methodology for uncertainty in knowledge-based systems

by Kurt Weichselberger

  • 256 Want to read
  • 5 Currently reading

Published by Springer-Verlag in Berlin, New York .
Written in English

    Subjects:
  • Expert systems (Computer science),
  • Uncertainty (Information theory)

  • Edition Notes

    Includes bibliographical references (p. [131]-132).

    StatementKurt Weichselberger, Sigrid Pöhlmann.
    SeriesLecture notes in computer science ;, 419., Lecture notes in artificial intelligence, Lecture notes in computer science ;, 419., Lecture notes in computer science.
    ContributionsPöhlmann, Sigrid, 1955-
    Classifications
    LC ClassificationsQA76.76.E95 W44 1990
    The Physical Object
    Pagination132 p. :
    Number of Pages132
    ID Numbers
    Open LibraryOL1857295M
    ISBN 103540523367, 0387523367
    LC Control Number90009498

    Book on knowledge-based (expert) systems, published in Contains a description of principal methods and techniques and implementations in Prolog and Lisp. Lee "Information Processing and Management of Uncertainty in Knowledge-Based Systems 16th International Conference, IPMU , Eindhoven, The Netherlands, June 20 - 24, , Proceedings, Part II" por disponible en Rakuten Kobo. This two volume set .

    This Research Monograph is a first attempt to present a general framework for the manipulation and explanation of uncertainty in the design of knowledge-based expert systems. Information Processing and Management of Uncertainty in Knowledge-Based Systems. by. Communications in Computer and Information Science (Book ) Thanks for Sharing! You submitted the following rating and review. We'll publish them on our site once we've reviewed them.

    Read "Information Processing and Management of Uncertainty in Knowledge-Based Systems 16th International Conference, IPMU , Eindhoven, The Netherlands, June , , Proceedings, Part I" by available from Rakuten Kobo. This two volume set (CCIS and ) constitute the proceedings of .   amenable to the knowledge-based system approach, and (2) a description of the characteristics of software tools and high-level programming environments that are useful, and for most purposes necessary, for the construction of a practical knowledge-based system. Reid G. Smith is the program leader for Expert Geology Systems at Schlumberger-Doll.


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A methodology for uncertainty in knowledge-based systems by Kurt Weichselberger Download PDF EPUB FB2

In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems. It is shown that methods violating this suggestion may have dangerous consequences (e.g., the Dempster-Shafer rule and the method used in MYCIN).

The necessity of some requirements for a correct combining of uncertain information in. Get this from a library. A Methodology for Uncertainty in Knowledge-Based Systems.

[Kurt Weichselberger; Sigrid Pöhlmann] -- In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems. It is shown that methods violating this suggestion may have dangerous consequences (e.g. In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems.

It is shown that methods violating this suggestion may have dangerous consequences (e.g., the Dempster-Shafer rule and the method used in MYCIN). The necessity of some requirements for a.

Get this from a library. A methodology for uncertainty in knowledge based systems. [Kurt Weichselberger; Sigrid Pöhlmann].

Get this from a library. A methodology for uncertainty in knowledge-based systems. [Kurt Weichselberger; Sigrid Pöhlmann] -- "In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems.

It is shown that methods violating this suggestion may have dangerous consequences. A Methodology for Uncertainty in Knowledge-Based Systems book download. Kurt Weichselberger, Sigrid P?hlmann. Download A Methodology for Uncertainty in Knowledge-Based Systems.

MISCONCEPTION: Science is a collection of facts. How to manage systemic risk of. Indiana University has been awarded a federal education grant to study the effectiveness.

This three volume set (CCIS ) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMUin June The papers are extended versions of presentations at the third international conference on information processing and management of uncertainty in knowledge-based systems.

The proceedings of the two preceding IPMU conferences appear as LNCS and LNCS Methodology and Tools in Knowledge-Based Systems An application to control of a non-linear process with model uncertainty. Pages Blasco, Xavier (et al.) Preview Buy Chap19 Book Title Methodology and Tools in Knowledge-Based Systems Book Subtitle.

IPMU Conference Proceedings on uncertainty, fuzzy sets and fuzzy logic, aggregation methods, knowledge representation and reasoning, knowledge acquisition, machine learning, data mining, semantics and reasoning, artificial intelligence, mathematical optimization, and image processing.

Uncertainty and vagueness in knowledge based systems. Hollunder B An alternative proof method for possibilistic logicand its application to terminological logics Proceedings of the Tenth international conference on Uncertainty in artificial intelligence, () Uncertainty and vagueness in knowledge based systems.

Computing. Book Title Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations Book Subtitle 17th International Conference, IPMUCádiz, Spain, June, Proceedings, Part I Editors. Jesús Medina; Manuel Ojeda-Aciego; José Luis Verdegay; David A.

Pelta; Inmaculada de las Peñas Cabrera. These results are used to evaluate systems based on probabilistic methods as well as on non-standard concepts such as certainty factors, fuzzy sets or belief functions.

The book is intended to be self-contained and addresses researchers and practioneers in the field of knowledge based s: 1. uncertainty estimation using prior collaborative method development and validation study data 17 uncertainty estimation using in-house development and validation studies 18 using data from proficiency testing 20 evaluation of uncertainty for empirical methods 21 evaluation of uncertainty for ad-hoc methods 22 Methodology for uncertainty in knowledge-based systems.

Berlin ; New York: Springer-Verlag, © (DLC) (OCoLC) Material Type: Document, Internet resource: Document Type: Internet Resource, Computer File: All Authors / Contributors: Kurt Weichselberger; Sigrid Pöhlmann.

Get this from a library. A Methodology for Uncertainty in Knowledge-Based Systems. [Kurt Weichselberger; Sigrid Pöhlmann]. This two volume set (CCIS and ) constitute the proceedings of the 16th International Conference on Information processing and Management of Uncertainty in Knowledge-Based Systems, IPMUheld in Eindhoven, The Netherlands, in June The revised full papers presented together with four invited talks were carefully reviewed.

Measurement Uncertainty Analysis Principles and Methods NASA Measurement Quality Assurance Handbook – ANNEX 3 Measurement System Identification: Metric July National Aeronautics and Space Administration Washington DC NASA-HDBK Approved: Baseline APPROVED FOR PUBLIC RELEASE – DISTRIBUTION UNLIMITED.

The primary aim of this monograph is to provide a formal framework for the representation and management of uncertainty and vagueness in the field of artificial intelligence. It puts particular emphasis on a thorough analysis of these phenomena and on the development of sound mathematical.

Uncertainty and Vagueness in Knowledge Based Systems: Numerical Methods Artificial Intelligence: : Rudolf Kruse, Erhard Schwecke: Libros en idiomas extranjerosAuthor: Rudolf Kruse.

The International Conference on Information Processing and Management of - certainty in Knowledge-Based Systems, IPMU, is organized every two years with the aim of bringing together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems.Results of uncertainty analysis by basic Monte Carlo method for α-HCH were similar to those for γ-HCH.

Therefore only γ-HCH is discussed here. The model uncertainty for each phase is illustrated in terms of the semi-interquartile range (i.e., the range between 25th and 75th percentiles) by dashed lines in Figure It was found that the.Information Processing and Management of Uncertainty in Knowledge-Based Systems.

Overview of attention for book Table of Contents. Altmetric Badge. Book Overview. Chapter 11 Investigation of Ranking Methods Within the Military Value of Information (VoI) Problem Domain.