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Qualitative methods for reasoning under uncertainty /

In this book Simon Parsons describes qualitative methods for reasoning under uncertainty, "uncertainty" being a catch-all term for various types of imperfect information. The advantage of qualitative methods is that they do not require precise numerical information. Instead, they work with...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Parsons, Simon
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, Mass. : MIT Press, ©2001.
©2001
Colección:Artificial Intelligence Ser.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:In this book Simon Parsons describes qualitative methods for reasoning under uncertainty, "uncertainty" being a catch-all term for various types of imperfect information. The advantage of qualitative methods is that they do not require precise numerical information. Instead, they work with abstractions such as interval values and information about how values change. The author does not invent completely new methods for reasoning under uncertainty but provides the means to create qualitative versions of existing methods. To illustrate this, he develops qualitative versions of probability theory, possibility theory, and the Dempster-Shafer theory of evidence. According to Parsons, these theories are best considered complementary rather than exclusive. Thus the book supports the contention that rather than search for the one best method to handle all imperfect information, one should use whichever method best fits the problem. This approach leads naturally to the use of several different methods in the solution of a single problem and to the complexity of integrating the results--a problem to which qualitative methods provide a solution
Descripción Física:1 online resource (xviii, 506 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 457-497) and index.
ISBN:9780262256773
0262256770
9780262161688
0262161680
0262528746
9780262528740
0585490228
9780585490229
0262293307
9780262293303