A Methodology for Uncertainty in Knowledge Based Systems

This book PDF is perfect for those who love Computers genre, written by Kurt Weichselberger and published by Lecture Notes in Artificial Intelligence which was released on 07 March 1990 with total hardcover pages 154. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related A Methodology for Uncertainty in Knowledge Based Systems books below.

A Methodology for Uncertainty in Knowledge Based Systems
A Methodology for Uncertainty in Knowledge Based Systems
Author : Kurt Weichselberger
File Size : 46,5 Mb
Publisher : Lecture Notes in Artificial Intelligence
Language : English
Release Date : 07 March 1990
ISBN : UOM:39015017992135
Pages : 154 pages
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A Methodology for Uncertainty in Knowledge Based Systems by Kurt Weichselberger Book PDF Summary

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 expert systems is demonstrated and suitable rules are provided. The possibility is taken into account that interval estimates are given instead of exact information about probabilities. For combining information containing interval estimates rules are provided which are useful in many cases.

Uncertainty in Knowledge Based Systems

Uncertainty in Knowledge Based Systems by Bernadette Bouchon-Meunier,Bernadette Bouchon,Ronald R. Yager

Download or read online Uncertainty in Knowledge Based Systems written by Bernadette Bouchon-Meunier,Bernadette Bouchon,Ronald R. Yager, published by Springer Science & Business Media which was released on 1987-11-04. Get Uncertainty in Knowledge Based Systems Books now! Available in PDF, ePub and Kindle.

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A Methodology for Uncertainty in Knowledge Based Systems

A Methodology for Uncertainty in Knowledge Based Systems by 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., the Dempster-Shafer rule and the method used in MYCIN). The necessity of some requirements for a correct combining of

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Uncertainty and Vagueness in Knowledge Based Systems

Uncertainty and Vagueness in Knowledge Based Systems by Rudolf Kruse,Erhard Schwecke,Jochen Heinsohn

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 modeling approaches. Beyond this theoretical

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Uncertainty Models for Knowledge based Systems

Uncertainty Models for Knowledge based Systems by Irwin R. Goodman,Hung T. Nguyen

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Information Processing and Management of Uncertainty in Knowledge Based Systems

Information Processing and Management of Uncertainty in Knowledge Based Systems by Eyke Hüllermeier,Rudolf Kruse,Frank Hoffmann

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. Since 1986, this conference has been providing a forum

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Information Processing and Management of Uncertainty in Knowledge Based Systems Theory and Foundations

Information Processing and Management of Uncertainty in Knowledge Based Systems Theory and Foundations by Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager

This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections

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Information Processing and Management of Uncertainty in Knowledge Based Systems

Information Processing and Management of Uncertainty in Knowledge Based Systems by Joao Paulo Carvalho,Marie-Jeanne Lesot,Uzay Kaymak,Susana Vieira,Bernadette Bouchon-Meunier,Ronald R. Yager

This two volume set (CCIS 610 and 611) constitute the proceedings of the 16th International Conference on Information processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016, held in Eindhoven, The Netherlands, in June 2016. The 127 revised full papers presented together with four invited talks were carefully reviewed and selected from numerous submissions.

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Information Processing and Management of Uncertainty in Knowledge Based Systems

Information Processing and Management of Uncertainty in Knowledge Based Systems by Marie-Jeanne Lesot,Susana Vieira,Marek Z. Reformat,João Paulo Carvalho,Anna Wilbik,Bernadette Bouchon-Meunier,Ronald R. Yager

This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually.

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