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Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making: 310 (Lecture Notes in Economics and Mathematical Systems, 310) - Softcover
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.
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Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
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Springer Berlin 27.07.1988., 1988
ISBN 10: 3540500057
ISBN 13: 9783540500056
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Seller: NEPO UG, Rüsselsheim am Main, Germany
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Unbekannt. Condition: 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. Seller Inventory # 247568
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Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making. (= Lecture Notes in Economics and Mathematical Systems, Band 310).
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Springer Berlin Heidelberg, 1988
ISBN 10: 3540500057
ISBN 13: 9783540500056
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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. Seller Inventory # 141159
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Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making (Lecture Notes in Economics and Mathematical Systems, 310)
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Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
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Springer Berlin Heidelberg, 1988
ISBN 10: 3540500057
ISBN 13: 9783540500056
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Condition: 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 . Seller Inventory # 4891399
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Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
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Springer Berlin Heidelberg, 1988
ISBN 10: 3540500057
ISBN 13: 9783540500056
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Taschenbuch. Condition: 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. Seller Inventory # 9783540500056
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Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
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ISBN 10: 3540500057
ISBN 13: 9783540500056
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9783540500056
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Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making (Lecture Notes in Economics and Mathematical Systems, 310)
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Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 1988, 1988
ISBN 10: 3540500057
ISBN 13: 9783540500056
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Taschenbuch. Condition: 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. Seller Inventory # 9783540500056
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Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
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Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
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Condition: 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. Seller Inventory # 50988160
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