Articles liés à Combining Fuzzy Imprecision with Probabilistic Uncertainty...
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 92,27
EUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délais
Résultats de recherche pour Combining Fuzzy Imprecision with Probabilistic Uncertainty...
Image fournie par le vendeur
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making. (= Lecture Notes in Economics and Mathematical Systems, Band 310).
Edité par
Springer Berlin Heidelberg, 1988
ISBN 10 : 3540500057
ISBN 13 : 9783540500056
Ancien ou d'occasion
8° , Softcover/Paperback
Edition originale
Vendeur : Antiquariat Deinbacher, Murstetten, Autriche
Évaluation du vendeur 4 sur 5 étoiles
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. N° de réf. du vendeur 141159
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Edité par
Springer Berlin 27.07.1988., 1988
ISBN 10 : 3540500057
ISBN 13 : 9783540500056
Ancien ou d'occasion
Unbekannt
Vendeur : NEPO UG, Rüsselsheim am Main, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Unbekannt. Etat : 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. N° de réf. du vendeur 247568
Quantité disponible : 1 disponible(s)
Image d'archives
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Edité par
Springer-Verlag, 1988
ISBN 10 : 3540500057
ISBN 13 : 9783540500056
Ancien ou d'occasion
Soft cover
Vendeur : G. & J. CHESTERS, TAMWORTH, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Soft cover. Etat : Very Good. 399 pages, camera-ready typescript, paperback, a very good copy of a book in the Lecture Notes in Economics and Mathematical Systems series [3540500057]. N° de réf. du vendeur 140315
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Edité par
Springer Berlin Heidelberg, 1988
ISBN 10 : 3540500057
ISBN 13 : 9783540500056
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : 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 . N° de réf. du vendeur 4891399
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Edité par
Springer Berlin Heidelberg, 1988
ISBN 10 : 3540500057
ISBN 13 : 9783540500056
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783540500056
Quantité disponible : 1 disponible(s)
Image d'archives
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making (Lecture Notes in Economics and Mathematical Systems, 310)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9783540500056_new
Quantité disponible : Plus de 20 disponibles
Image d'archives
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making (Lecture Notes in Economics and Mathematical Systems, 310)
Vendeur : Best Price, Torrance, CA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. SUPER FAST SHIPPING. N° de réf. du vendeur 9783540500056
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 1988, 1988
ISBN 10 : 3540500057
ISBN 13 : 9783540500056
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783540500056
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Edité par
Springer Berlin Heidelberg Jul 1988, 1988
ISBN 10 : 3540500057
ISBN 13 : 9783540500056
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783540500056
Quantité disponible : 2 disponible(s)
Image d'archives
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making (Lecture Notes in Economics and Mathematical Systems, 310)
Vendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur I-9783540500056
Quantité disponible : Plus de 20 disponibles