Articoli correlati a Combining Fuzzy Imprecision with Probabilistic Uncertainty...
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
Essay on the history of the development of many-valued logics and some related topics.- 1. Introductory Sections.- Uncertainty aversion and separated effects in decision making under uncertainty.- Essentials of decision making under generalized uncertainty.- Decision evaluation methods under uncertainty and imprecision.- 2. Basic Theoretical Issues.- Fuzzy random variables.- Fuzzy P-measures and their application in decision making.- Theory and applications of fuzzy statistics.- Confidence intervals for the parameters of a linguistic random variable.- On combining uncertainty measures.- On the combination of vague evidence of the probabilistic origin.- Fuzzy evaluation of communicators.- Uncertain associational relations: compatibility and transition relations in reasoning.- 3. Fuzzy Sets Involving Random Aspects.- Stochastic fuzzy sets: a survey.- Probabilistic sets ― a survey.- 4. Decision ― Making ― Related Models Involving Fuzziness and Randomness.- Decision making based on fuzzy stochastic and statistical dominance.- Decision making in a probabilistic fuzzy environment.- Randomness and fuzziness in a linear programming problem.- Comparison of methodologies for multicriteria feasibility ―constrained fuzzy and multiple ― objective stochastic linear programming.- Fuzzy dynamic programming with stochastic systems.- Probabilistic ― possibilistic approach to some statistical problems with fuzzy experimental observations.- Estimation of life-time with fuzzy prior information: application in reliability.- Questionnaires with fuzzy and probabilistic elements.- From fuzzy data to a single action ― a simulation approach.- 5. Applications.- Probabilistic sets in classification and pattern recognition.- Fuzzy optimization of radiation protection and nuclear safety.- Application of fuzzy statistical decision making in countermeasures against great earthquakes.- From an oriental market to the European monetary system: some fuzzy ― sers ― related ideas.
Product Description
Book by None
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Compra nuovo
Visualizza questo articolo
EUR 92,27
EUR 9,70 per la spedizione da Germania a Italia
Destinazione, tempi e costi
Risultati della ricerca per Combining Fuzzy Imprecision with Probabilistic Uncertainty...
Immagini fornite dal venditore
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making. (= Lecture Notes in Economics and Mathematical Systems, Band 310).
Editore:
Springer Berlin Heidelberg, 1988
ISBN 10: 3540500057
ISBN 13: 9783540500056
Antico o usato
8° , Softcover/Paperback
Prima edizione
Da: Antiquariat Deinbacher, Murstetten, Austria
Valutazione del venditore 4 su 5 stelle
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. Codice articolo 141159
Quantità: 1 disponibili
Immagini fornite dal venditore
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Editore:
Springer Berlin 27.07.1988., 1988
ISBN 10: 3540500057
ISBN 13: 9783540500056
Antico o usato
Unbekannt
Da: NEPO UG, Rüsselsheim am Main, Germania
Valutazione del venditore 5 su 5 stelle
Unbekannt. Condizione: 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. Codice articolo 247568
Quantità: 1 disponibili
Immagini fornite dal venditore
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Print on DemandDa: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: 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 . Codice articolo 4891399
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Editore:
Springer Berlin Heidelberg, 1988
ISBN 10: 3540500057
ISBN 13: 9783540500056
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9783540500056
Quantità: 1 disponibili
Immagini fornite dal venditore
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
ISBN 10: 3540500057
ISBN 13: 9783540500056
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9783540500056
Quantità: 1 disponibili
Immagini fornite dal venditore
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Editore:
Springer Berlin Heidelberg Jul 1988, 1988
ISBN 10: 3540500057
ISBN 13: 9783540500056
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9783540500056
Quantità: 2 disponibili
Foto dell'editore
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making (Lecture Notes in Economics and Mathematical Systems, 310)
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. In. Codice articolo ria9783540500056_new
Quantità: Più di 20 disponibili
Foto dell'editore
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making (Lecture Notes in Economics and Mathematical Systems, 310)
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo I-9783540500056
Quantità: Più di 20 disponibili
Foto dell'editore
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. pp. 412. Codice articolo 2658571615
Quantità: 4 disponibili
Foto dell'editore
Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
Print on DemandDa: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: 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. Codice articolo 50988160
Quantità: 4 disponibili