Artículos relacionados a Combining Fuzzy Imprecision with Probabilistic Uncertainty...
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making: 310 (Lecture Notes in Economics and Mathematical Systems) - Tapa blanda
Sinopsis
In the literature of decision analysis it is traditional to rely on the tools provided by probability theory to deal with problems in which uncertainty plays a substantive role. In recent years, however, it has become increasingly clear that uncertainty is a mul tifaceted concept in which some of the important facets do not lend themselves to analysis by probability-based methods. One such facet is that of fuzzy imprecision, which is associated with the use of fuzzy predicates exemplified by small, large, fast, near, likely, etc. To be more specific, consider a proposition such as "It is very unlikely that the price of oil will decline sharply in the near future," in which the italicized words play the role of fuzzy predicates. The question is: How can one express the mean ing of this proposition through the use of probability-based methods? If this cannot be done effectively in a probabilistic framework, then how can one employ the information provided by the proposition in question to bear on a decision relating to an investment in a company engaged in exploration and marketing of oil? As another example, consider a collection of rules of the form "If X is Ai then Y is B,," j = 1, . . . , n, in which X and Yare real-valued variables and Ai and Bi are fuzzy numbers exemplified by small, large, not very small, close to 5, etc.
"Sinopsis" puede pertenecer a otra edición de este libro.
Reseña del editor
In the literature of decision analysis it is traditional to rely on the tools provided by probability theory to deal with problems in which uncertainty plays a substantive role. In recent years, however, it has become increasingly clear that uncertainty is a mul tifaceted concept in which some of the important facets do not lend themselves to analysis by probability-based methods. One such facet is that of fuzzy imprecision, which is associated with the use of fuzzy predicates exemplified by small, large, fast, near, likely, etc. To be more specific, consider a proposition such as "It is very unlikely that the price of oil will decline sharply in the near future," in which the italicized words play the role of fuzzy predicates. The question is: How can one express the mean ing of this proposition through the use of probability-based methods? If this cannot be done effectively in a probabilistic framework, then how can one employ the information provided by the proposition in question to bear on a decision relating to an investment in a company engaged in exploration and marketing of oil? As another example, consider a collection of rules of the form "If X is Ai then Y is B,," j = 1, . . . , n, in which X and Yare real-valued variables and Ai and Bi are fuzzy numbers exemplified by small, large, not very small, close to 5, etc.
Reseña del editor
This volume brings together for the first time articles by well-known experts focusing on the topic of the joint occurrence of imprecision, dealt with in terms of fuzzy sets and possibility theory, and randomness, dealt with in terms of probability theory, in a wide spectrum of decision making problems. In the introductory section, some basic issues related to decision making under uncertainty and fuzziness are discussed in some survey-type papers. The second part is devoted to basic theoretical issues, including uncertainty measures, fuzzy measures, fuzzy random variables, fuzzy statistics and evaluation and aggregation of imprecise and uncertain evidence. The third part presents the concepts of a stochastic fuzzy set and a probabilistic set which are basically some fuzzy sets involving random aspects. The fourth part presents a wide spectrum of models in which some aspects of fuzziness and randomness co-occur. It includes papers on fuzzy statistical decision making, fuzzy stochastic and statistical dominance, probabilistic-set-based decision making, optimization under fuzziness and randomness and fuzzy dynamic programming with stochastic systems. The fifth and final part deals with applications in economy and finance, nuclear reactor protection, classification and pattern recognition, reliability and earthquake forecasting. The reader is provided with a set of tools which enable him to deal with diverse decision problems in which imprecision and uncertainty jointly occur.
"Sobre este título" puede pertenecer a otra edición de este libro.
Comprar nuevo
Ver este artículo
EUR 92,27
EUR 19,49 gastos de envío desde Alemania a España
Destinos, gastos y plazos de envío
Resultados de la búsqueda para Combining Fuzzy Imprecision with Probabilistic Uncertainty...
Imagen del vendedor
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making. (= Lecture Notes in Economics and Mathematical Systems, Band 310).
Publicado por
Springer Berlin Heidelberg, 1988
ISBN 10: 3540500057
ISBN 13: 9783540500056
Antiguo o usado
8° , Softcover/Paperback
Original o primera edición
Librería: Antiquariat Deinbacher, Murstetten, Austria
Calificación del vendedor: 4 de 5 estrellas
8° , Softcover/Paperback. 1.Auflage,. IX, 399 Seiten Einband etwas berieben, Bibl.Ex., innen guter und sauberer Zustand 9783540500056 Sprache: Englisch Gewicht in Gramm: 740. Nº de ref. del artículo: 141159
Cantidad disponible: 1 disponibles
Imagen del vendedor
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Publicado por
Springer Berlin 27.07.1988., 1988
ISBN 10: 3540500057
ISBN 13: 9783540500056
Antiguo o usado
Unbekannt
Librería: NEPO UG, Rüsselsheim am Main, Alemania
Calificación del vendedor: 5 de 5 estrellas
Unbekannt. Condición: Gut. 399 S. In the literature of decision analysis it is traditional to rely on the tools provided by probability theory to deal with problems in which uncertainty plays a substantive role. In recent years, however, it has become increasingly clear that uncertainty is a mul tifaceted concept in which some of the important facets do not lend themselves to analysis by probability-based methods. One such facet is that of fuzzy imprecision, which is associated with the use of fuzzy predicates exemplified by small, large, fast, near, likely, etc. To be more specific, consider a proposition such as "It is very unlikely that the price of oil will decline sharply in the near future," in which the italicized words play the role of fuzzy predicates. The question is: How can one express the mean ing of this proposition through the use of probability-based methods? If this cannot be done effectively in a probabilistic framework, then how can one employ the information provided by the proposition in question to bear on a decision relating to an investment in a company engaged in exploration and marketing of oil? As another example, consider a collection of rules of the form "If X is Ai then Y is B," j = 1, . . . , n, in which X and Yare real-valued variables and Ai and Bi are fuzzy numbers exemplified by small, large, not very small, close to 5, etc. Sprache: Englisch Gewicht in Gramm: 708 Softcover reprint of the original 1st ed. 1988. Nº de ref. del artículo: 247568
Cantidad disponible: 1 disponibles
Imagen del vendedor
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Publicado por
Springer Berlin Heidelberg, 1988
ISBN 10: 3540500057
ISBN 13: 9783540500056
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In the literature of decision analysis it is traditional to rely on the tools provided by probability theory to deal with problems in which uncertainty plays a substantive role. In recent years, however, it has become increasingly clear that uncertainty is . Nº de ref. del artículo: 4891399
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Publicado por
Springer Berlin Heidelberg, 1988
ISBN 10: 3540500057
ISBN 13: 9783540500056
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - In the literature of decision analysis it is traditional to rely on the tools provided by probability theory to deal with problems in which uncertainty plays a substantive role. In recent years, however, it has become increasingly clear that uncertainty is a mul tifaceted concept in which some of the important facets do not lend themselves to analysis by probability-based methods. One such facet is that of fuzzy imprecision, which is associated with the use of fuzzy predicates exemplified by small, large, fast, near, likely, etc. To be more specific, consider a proposition such as 'It is very unlikely that the price of oil will decline sharply in the near future,' in which the italicized words play the role of fuzzy predicates. The question is: How can one express the mean ing of this proposition through the use of probability-based methods If this cannot be done effectively in a probabilistic framework, then how can one employ the information provided by the proposition in question to bear on a decision relating to an investment in a company engaged in exploration and marketing of oil As another example, consider a collection of rules of the form 'If X is Ai then Y is B,' j = 1, . . . , n, in which X and Yare real-valued variables and Ai and Bi are fuzzy numbers exemplified by small, large, not very small, close to 5, etc. Nº de ref. del artículo: 9783540500056
Cantidad disponible: 1 disponibles
Imagen de archivo
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making (Lecture Notes in Economics and Mathematical Systems, 310)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9783540500056_new
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Publicado por
Springer Berlin Heidelberg Jul 1988, 1988
ISBN 10: 3540500057
ISBN 13: 9783540500056
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the literature of decision analysis it is traditional to rely on the tools provided by probability theory to deal with problems in which uncertainty plays a substantive role. In recent years, however, it has become increasingly clear that uncertainty is a mul tifaceted concept in which some of the important facets do not lend themselves to analysis by probability-based methods. One such facet is that of fuzzy imprecision, which is associated with the use of fuzzy predicates exemplified by small, large, fast, near, likely, etc. To be more specific, consider a proposition such as 'It is very unlikely that the price of oil will decline sharply in the near future,' in which the italicized words play the role of fuzzy predicates. The question is: How can one express the mean ing of this proposition through the use of probability-based methods If this cannot be done effectively in a probabilistic framework, then how can one employ the information provided by the proposition in question to bear on a decision relating to an investment in a company engaged in exploration and marketing of oil As another example, consider a collection of rules of the form 'If X is Ai then Y is B,' j = 1, . . . , n, in which X and Yare real-valued variables and Ai and Bi are fuzzy numbers exemplified by small, large, not very small, close to 5, etc. 412 pp. Englisch. Nº de ref. del artículo: 9783540500056
Cantidad disponible: 2 disponibles
Imagen de archivo
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making (Lecture Notes in Economics and Mathematical Systems, 310)
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9783540500056
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Publicado por
Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 1988, 1988
ISBN 10: 3540500057
ISBN 13: 9783540500056
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the literature of decision analysis it is traditional to rely on the tools provided by probability theory to deal with problems in which uncertainty plays a substantive role. In recent years, however, it has become increasingly clear that uncertainty is a mul tifaceted concept in which some of the important facets do not lend themselves to analysis by probability-based methods. One such facet is that of fuzzy imprecision, which is associated with the use of fuzzy predicates exemplified by small, large, fast, near, likely, etc. To be more specific, consider a proposition such as 'It is very unlikely that the price of oil will decline sharply in the near future,' in which the italicized words play the role of fuzzy predicates. The question is: How can one express the mean ing of this proposition through the use of probability-based methods If this cannot be done effectively in a probabilistic framework, then how can one employ the information provided by the proposition in question to bear on a decision relating to an investment in a company engaged in exploration and marketing of oil As another example, consider a collection of rules of the form 'If X is Ai then Y is B,' j = 1, . . . , n, in which X and Yare real-valued variables and Ai and Bi are fuzzy numbers exemplified by small, large, not very small, close to 5, etc.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 412 pp. Englisch. Nº de ref. del artículo: 9783540500056
Cantidad disponible: 1 disponibles
Imagen de archivo
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. pp. 412. Nº de ref. del artículo: 2658571615
Cantidad disponible: 4 disponibles
Imagen de archivo
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Print on Demand pp. 412 40 Figures, 67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam. Nº de ref. del artículo: 50988160
Cantidad disponible: 4 disponibles