Uncertainty in Knowledge Bases : 3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'90, Paris, France, July 2 - 6, 1990. Proceedings. 1st ed. 1991

種類:

電子ブック

責任表示:

edited by Bernadette Bouchon-Meunier, Ronald R. Yager, Lotfi A. Zadeh

出版情報:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1991

著者名:

• Bouchon-Meunier, Bernadette.
• Yager, Ronald R.
• Zadeh, Lotfi A.
• SpringerLink (Online service)

シリーズ名:

Lecture Notes in Computer Science ; 521

ISBN:

9783540475804 [354047580X]    

注記:

On Spohn's theory of epistemic beliefs -- Fast algorithms for Dempster-Shafer theory -- On the combination of information sources -- Application aspects of qualitative conditional independence -- A study of probabilities and belief functions under conflicting evidence: Comparisons and new methods -- Propagating belief functions through constraints systems -- Updating uncertain information -- Assessing multiple beliefs according to one body of evidence — Why it may be necessary, and how we might do it correctly -- Probabilistic default reasoning -- On knowledge representation in belief networks -- Stoss — A stochastic simulation system for Bayesian belief networks -- Conditional events with vague information in expert systems -- On representation of source reliability in weight of evidence -- An abstract mechanism for handling uncertainty -- A method to build membership functions -- Algebraic analysis of fuzzy indiscernibility -- On modelling fuzzy preference relations -- Conceptual conectivity analysis by mea
The management and processing of uncertain information has shown itself to be a crucial issue in the development of intelligent systems, beginning withits appearance in the such systems as Mycin and Prospector. The papers in this volume reflect the current range of interests or researchers in thefield. Currently, the major approaches to uncertainty include fuzzy set theory, probabilistic methods, mathematical theory of evidence, non-standardlogics such as default reasoning, and possibility theory. The initial part of the volume is devoted to papers dealing with the foundations of these approaches, where recent attempts have been made to develop systems combining multiple approaches. A significant part of the book looks at the management of uncertainty in a number of the paradigmatic domainsof intelligent systems such as expert systems, decision making, databases, image processing, and reasoning networks. The papers are extended versions of presentations at the third international conference on information pro

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