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 processing and management of uncertainty in knowledge-based systems. The proceedings of the two preceding IPMU conferences appear as LNCS 286 and LNCS 313.
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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 processing and management of uncertainty in knowledge-based systems. The proceedings of the two preceding IPMU conferences appear as LNCS 286 and LNCS 313.
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Taschenbuch. Zustand: Neu. Neuware -The management and processing of uncertain information hasshown itself to be a crucial issue in the development ofintelligent systems, beginning withits appearance in thesuch systems as Mycin and Prospector. The papers in thisvolume reflect the current range of interests or researchersin thefield. Currently, the major approaches to uncertaintyinclude fuzzy set theory, probabilistic methodsmathematical theory of evidence, non-standardlogics such asdefault reasoning, and possibility theory.The initial part of the volume is devoted to papers dealingwith the foundations of these approaches, where recentattempts have been made to develop systems combiningmultiple approaches. A significant part of the book looks atthe management of uncertainty in a number of theparadigmatic domainsof intelligent systems such as expertsystems, decision making, databases, image processing, andreasoning networks.The papers are extended versions of presentations at thethird international conference on information processing andmanagement of uncertainty in knowledge-based systems. Theproceedings of the two preceding IPMU conferences appear asLNCS 286 and LNCS 313.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 624 pp. Englisch. Artikel-Nr. 9783540543466
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The management and processing of uncertain information hasshown itself to be a crucial issue in the development ofintelligent systems, beginning withits appearance in thesuch systems as Mycin and Prospector. The papers in thisvolume reflect the current range of interests or researchersin thefield. Currently, the major approaches to uncertaintyinclude fuzzy set theory, probabilistic methods,mathematical theory of evidence, non-standardlogics such asdefault reasoning, and possibility theory.The initial part of the volume is devoted to papers dealingwith the foundations of these approaches, where recentattempts have been made to develop systems combiningmultiple approaches. A significant part of the book looks atthe management of uncertainty in a number of theparadigmatic domainsof intelligent systems such as expertsystems, decision making, databases, image processing, andreasoning networks.The papers are extended versions of presentations at thethird international conference on information processing andmanagement of uncertainty in knowledge-based systems. Theproceedings of the two preceding IPMU conferences appear asLNCS 286 and LNCS 313. Artikel-Nr. 9783540543466
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