Combining Fuzzy Imprecision With Probabilistic Uncertainty in Decision Making (Lecture Notes in Economics and Mathematical Systems)
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Advances in the Dempster-Shafer Theory of Evidence
EN HC NWISBN: 9780471552482 bzw. 0471552488, in Englisch, Wiley, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: USA.
Von Händler/Antiquariat, BuySomeBooks.
Wiley. Hardcover. New. Hardcover. 608 pages. Dimensions: 9.3in. x 6.4in. x 1.5in.Builds on classical probability theory and offers an extremely workable solution to the many problems of artificial intelligence, concentrating on the rapidly growing areas of fuzzy reasoning and neural computing. Contains a collection of previously unpublished articles by leading researchers in the field. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
Von Händler/Antiquariat, BuySomeBooks.
Wiley. Hardcover. New. Hardcover. 608 pages. Dimensions: 9.3in. x 6.4in. x 1.5in.Builds on classical probability theory and offers an extremely workable solution to the many problems of artificial intelligence, concentrating on the rapidly growing areas of fuzzy reasoning and neural computing. Contains a collection of previously unpublished articles by leading researchers in the field. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
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Combining Fuzzy Imprecision With Probabilistic Uncertainty in Decision Making (Lecture Notes in Economics and Mathematical Systems) (1988)
EN PB NWISBN: 9780387500058 bzw. 0387500057, in Englisch, 399 Seiten, Springer-Verlag, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1 to 2 months.
Von Händler/Antiquariat, Amazon.com.
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. Paperback, Label: Springer-Verlag, Springer-Verlag, Produktgruppe: Book, Publiziert: 1988-09, Studio: Springer-Verlag.
Von Händler/Antiquariat, Amazon.com.
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. Paperback, Label: Springer-Verlag, Springer-Verlag, Produktgruppe: Book, Publiziert: 1988-09, Studio: Springer-Verlag.
3
Combining Fuzzy Imprecision With Probabilistic Uncertainty in Decision Making (Lecture Notes in Economics and Mathematical Systems) (1988)
EN PB USISBN: 9780387500058 bzw. 0387500057, in Englisch, 399 Seiten, Springer-Verlag, Taschenbuch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, fionacolin.
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. Paperback, Label: Springer-Verlag, Springer-Verlag, Produktgruppe: Book, Publiziert: 1988-09, Studio: Springer-Verlag.
Von Händler/Antiquariat, fionacolin.
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. Paperback, Label: Springer-Verlag, Springer-Verlag, Produktgruppe: Book, Publiziert: 1988-09, Studio: Springer-Verlag.
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Dempster-Shafer Theory of Evidence (Wiley professional computing) (1994)
EN HC USISBN: 9780471552482 bzw. 0471552488, in Englisch, 608 Seiten, John Wiley & Sons, Inc. gebundenes Buch, gebraucht.
جديد من: £68.25 (10 ويقدم)
تستخدم من: £42.60 (6 ويقدم)
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Lieferung aus: Vereinigtes Königreich Grossbritannien und Nordirland, Usually dispatched within 1-2 business days, بالإضافة إلى الشحن (في حالة شحنها).
Von Händler/Antiquariat, Classique-uk.
Advances in the Dempster-Shafer Theory of Evidence Builds on classical probability theory and offers an extremely workable solution to the many problems of artificial intelligence, concentrating on the rapidly growing areas of fuzzy reasoning and neural computing. Contains a collection of previously unpublished articles by leading researchers in the field. Hardcover, التسمية: John Wiley & Sons, Inc. John Wiley & Sons, Inc. مجموعة المنتجات: Book, ونشرت: 1994-02-15, تاريخ الإصدار: 1994-02-15, ستوديو: John Wiley & Sons, Inc. رتبة المبيعات: 5247031.
Von Händler/Antiquariat, Classique-uk.
Advances in the Dempster-Shafer Theory of Evidence Builds on classical probability theory and offers an extremely workable solution to the many problems of artificial intelligence, concentrating on the rapidly growing areas of fuzzy reasoning and neural computing. Contains a collection of previously unpublished articles by leading researchers in the field. Hardcover, التسمية: John Wiley & Sons, Inc. John Wiley & Sons, Inc. مجموعة المنتجات: Book, ونشرت: 1994-02-15, تاريخ الإصدار: 1994-02-15, ستوديو: John Wiley & Sons, Inc. رتبة المبيعات: 5247031.
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Advances in the Dempster-Shafer Theory of Evidence (1994)
EN HC USISBN: 9780471552482 bzw. 0471552488, in Englisch, Somerset, New Jersey, U.S.A.: John Wiley & Sons Inc, gebundenes Buch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, تكاليف الشحن إلى: YEM.
Von Händler/Antiquariat, Bingo Books 2.
Somerset, New Jersey, U.S.A.: John Wiley & Sons Inc, 1994 hardback book in near fine condition. Hardcover. Near Fine.
Von Händler/Antiquariat, Bingo Books 2.
Somerset, New Jersey, U.S.A.: John Wiley & Sons Inc, 1994 hardback book in near fine condition. Hardcover. Near Fine.
6
Advances in the Dempster-Shafer Theory of Evidence (1994)
EN HC NWISBN: 9780471552482 bzw. 0471552488, in Englisch, John Wiley And Sons Ltd, gebundenes Buch, neu.
Lieferung aus: Niederlande, Vermoedelijk 4-6 weken.
bol.com.
Builds on classical probability theory and offers an extremely workable solution to the many problems of artificial intelligence, concentrating on the rapidly growing areas of fuzzy reasoning and neural computing. Contains a collection of previously unpublished articles by leading researchers in the field.Taal: Engels;Afmetingen: 39x239x167 mm;Gewicht: 1,04 kg;Verschijningsdatum: maart 1994;ISBN10: 0471552488;ISBN13: 9780471552482; Engelstalig | Hardcover | 1994.
bol.com.
Builds on classical probability theory and offers an extremely workable solution to the many problems of artificial intelligence, concentrating on the rapidly growing areas of fuzzy reasoning and neural computing. Contains a collection of previously unpublished articles by leading researchers in the field.Taal: Engels;Afmetingen: 39x239x167 mm;Gewicht: 1,04 kg;Verschijningsdatum: maart 1994;ISBN10: 0471552488;ISBN13: 9780471552482; Engelstalig | Hardcover | 1994.
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Symbolbild
Advances in the Dempster– Shafer Theory of Evidence
EN HC NWISBN: 9780471552482 bzw. 0471552488, in Englisch, John Wiley & Sons, gebundenes Buch, neu.
Lieferung aus: Vereinigtes Königreich Grossbritannien und Nordirland, zzgl. Versandkosten, Verandgebiet: EUR.
Von Händler/Antiquariat, Paperbackshop International, GLOS, Fairford, [RE:4].
Hardcover.
Von Händler/Antiquariat, Paperbackshop International, GLOS, Fairford, [RE:4].
Hardcover.
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