Modern information processing : from theory to applications /

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The volume "Modern Information Processing: From Theory to Applications," edited by Bernadette Bouchon-Meunier, Giulianella Coletti and Ronald Yager, is a collection of carefully selected papers drawn from the program of IPMU'04, which was held in Perugia, Italy. The book represents th...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems Perugia, Italy
Otros Autores: Bouchon-Meunier, B. (Bernadette), 1948-, Coletti, Giulianella, Yager, Ronald R., 1941-
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: Amsterdam ; London : Elsevier, 2006.
Temas:
Artificial intelligence > Congresses.
Information theory > Congresses.
Uncertainty (Information theory) > Congresses.
Artificial intelligence.
Information theory.
Artificial Intelligence
Information Theory
Intelligence artificielle > Congr�es.
Th�eorie de l'information > Congr�es.
Incertitude (Th�eorie de l'information) > Congr�es.
Intelligence artificielle.
Th�eorie de l'information.
artificial intelligence.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Uncertainty (Information theory)
Congress
Conference papers and proceedings.
Actes de congr�es.
Acceso en línea:Texto completo
Descripción
Sumario:The volume "Modern Information Processing: From Theory to Applications," edited by Bernadette Bouchon-Meunier, Giulianella Coletti and Ronald Yager, is a collection of carefully selected papers drawn from the program of IPMU'04, which was held in Perugia, Italy. The book represents the cultural policy of IPMU conference which is not focused on narrow range of methodologies, but on the contrary welcomes all the theories for the management of uncertainty and aggregation of information in intelligent systems, providing a medium for the exchange of ideas between theoreticians and practitioners in these and related areas. The book is composed by 7 sections: UNCERTAINTY PREFERENCES CLASSIFICATION AND DATA MINING AGGREGATION AND MULTI-CRITERIA DECISION MAKING KNOWLEDGE REPRESENTATION The book contributes to enhancement of our ability to deal effectively with uncertainty in all of its manifestations. The book can help to build brigs among theories and methods methods for the management of uncertainty. The book addresses issues which have a position of centrality in our information-centric world. The book presents interesting results devoted to representing knowledge: the goal is to capture the subtlety of human knowledge (richness) and to allow computer manipulation (formalization). The book contributes to the goal: an efficient use of the information for a good decision strategy. APPLIED DOMAINS The book contributes to enhancement of our ability to deal effectively with uncertainty in all of its manifestations. The book can help to build brigs among theories and methods methods for the management of uncertainty. The book addresses issues which have a position of centrality in our information-centric world. The book presents interesting results devoted to representing knowledge: the goal is to capture the subtlety of human knowledge (richness) and to allow computer manipulation (formalization). The book contributes to the goal: an efficient use of the information for a good decision strategy
Descripción Física:1 online resource (x, 468 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9780444520753
0444520759
0080461697
9780080461694

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