Articoli correlati a Fuzzy Sets Theory and Applications: 177
Sinossi
Problems in decision making and in other areas such as pattern recogni tion, control, structural engineering etc. involve numerous aspects of uncertainty. Additional vagueness is introduced as models become more complex but not necessarily more meaningful by the added details. During the last two decades one has become more and more aware of the fact that not all this uncertainty is of stochastic (random) cha racter and that, therefore, it can not be modelled appropriately by probability theory. This becomes the more obvious the more we want to represent formally human knowledge. As far as uncertain data are concerned, we have neither instru ments nor reasoning at our disposal as well defined and unquestionable as those used in the probability theory. This almost infallible do main is the result of a tremendous work by the whole scientific world. But when measures are dubious, bad or no longer possible and when we really have to make use of the richness of human reasoning in its variety, then the theories dealing with the treatment of uncertainty, some quite new and other ones older, provide the required complement, and fill in the gap left in the field of knowledge representation. Nowadays, various theories are widely used: fuzzy sets, belief function, the convenient associations between probability and fuzzines~ etc ••• We are more and more in need of a wide range of instruments and theories to build models that are more and more adapted to the most complex systems.
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Contenuti
1: Some theoretical Aspects.- 1.1 Mathematics and fuzziness.- 1.2 Radon—Nikodym Theorem for fuzzy set—valued measures.- 1.3 Construction of a probability distribution from a fuzzy information.- 1.4 Convolution of fuzzyness and probability.- 1.5 Fuzzy sets and subobjects.- 2: From theory to applications.- 2.1 Outline of a theory of usuality based on fuzzy logic.- 2.2 Fuzzy sets theory and mathematical programming.- 2.3 Decisions with usual values.- 2.4 Support logic programming.- 2.5 Hybrid data — various associations between fuzzy subsets and random variables.- 2.6 Fuzzy relation equations : methodology and applications.- 3: Various particular applications.- 3.1 Multi criteria decision making in crisp and fuzzy environments.- 3.2 Fuzzy subsets applications in O.R. and management.- 3.3 Character recognition by means of fuzzy set reasoning.- 3.4 Computerized electrocardiography and fuzzy sets.- 3.5 Medical applications with fuzzy sets.- 3.6 Fuzzy subsets in didactic processes.
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Fuzzy Sets Theory and Applications. (= Nato Science Series C: Mathematical and Physical Sciences, Band 177).
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Springer, 1985
ISBN 10: 9027722625
ISBN 13: 9789027722621
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8° , Hardcover/Pappeinband. 1.Auflage,. 415 Seiten Einband etwas berieben, Bibl.Ex., innen guter und sauberer Zustand 9789027722621 Sprache: Englisch Gewicht in Gramm: 761. Codice articolo 144342
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Fuzzy Sets Theory and Applications (Nato Science Series C:)
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Hardcover. Condizione: Very Good. Ex-Library hardcover in very nice condition with the usual markings and attachments. Text block clean and unmarked. Tight binding. Codice articolo GL17A33644
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Fuzzy sets theory and applications
ISBN 10: 9027722625
ISBN 13: 9789027722621
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Hardcover. Condizione: Very Good. xii, 403 p. Boards square, corners sharp; internally fine. 860 grams. Codice articolo 002118
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Fuzzy Sets Theory and Applications
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Fuzzy Sets Theory and Applications
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Springer Netherlands, Springer Netherlands Jun 1986, 1986
ISBN 10: 9027722625
ISBN 13: 9789027722621
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Problems in decision making and in other areas such as pattern recogni tion, control, structural engineering etc. involve numerous aspects of uncertainty. Additional vagueness is introduced as models become more complex but not necessarily more meaningful by the added details. During the last two decades one has become more and more aware of the fact that not all this uncertainty is of stochastic (random) cha racter and that, therefore, it can not be modelled appropriately by probability theory. This becomes the more obvious the more we want to represent formally human knowledge. As far as uncertain data are concerned, we have neither instru ments nor reasoning at our disposal as well defined and unquestionable as those used in the probability theory. This almost infallible do main is the result of a tremendous work by the whole scientific world. But when measures are dubious, bad or no longer possible and when we really have to make use of the richness of human reasoning in its variety, then the theories dealing with the treatment of uncertainty, some quite new and other ones older, provide the required complement, and fill in the gap left in the field of knowledge representation. Nowadays, various theories are widely used: fuzzy sets, belief function, the convenient associations between probability and fuzzines~ etc ¿¿¿ We are more and more in need of a wide range of instruments and theories to build models that are more and more adapted to the most complex systems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 420 pp. Englisch. Codice articolo 9789027722621
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Fuzzy Sets Theory and Applications (Nato Science Series C:, 177)
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Fuzzy Sets Theory and Applications
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Springer Netherlands, Springer Netherlands, 1986
ISBN 10: 9027722625
ISBN 13: 9789027722621
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Problems in decision making and in other areas such as pattern recogni tion, control, structural engineering etc. involve numerous aspects of uncertainty. Additional vagueness is introduced as models become more complex but not necessarily more meaningful by the added details. During the last two decades one has become more and more aware of the fact that not all this uncertainty is of stochastic (random) cha racter and that, therefore, it can not be modelled appropriately by probability theory. This becomes the more obvious the more we want to represent formally human knowledge. As far as uncertain data are concerned, we have neither instru ments nor reasoning at our disposal as well defined and unquestionable as those used in the probability theory. This almost infallible do main is the result of a tremendous work by the whole scientific world. But when measures are dubious, bad or no longer possible and when we really have to make use of the richness of human reasoning in its variety, then the theories dealing with the treatment of uncertainty, some quite new and other ones older, provide the required complement, and fill in the gap left in the field of knowledge representation. Nowadays, various theories are widely used: fuzzy sets, belief function, the convenient associations between probability and fuzzines~ etc --- We are more and more in need of a wide range of instruments and theories to build models that are more and more adapted to the most complex systems. Codice articolo 9789027722621
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Fuzzy Sets Theory and Applications (Nato Science Series C:, 177)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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FUZZY SETS THEORY AND APPLICATIONS
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D. Reidel Publishing Co., 1986
ISBN 10: 9027722625
ISBN 13: 9789027722621
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Da: Le-Livre, SABLONS, Francia
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Couverture rigide. Condizione: bon. RO60066348: 1986. In-8. Relié. Etat d'usage, Couv. convenable, Dos satisfaisant, Intérieur frais. 403 pages. Scotch au dos des plats. . . . Classification Dewey : 420-Langue anglaise. Anglo-saxon. Codice articolo RO60066348
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Fuzzy Sets Theory and Applications
Editore:
Springer Netherlands Jun 1986, 1986
ISBN 10: 9027722625
ISBN 13: 9789027722621
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Problems in decision making and in other areas such as pattern recogni tion, control, structural engineering etc. involve numerous aspects of uncertainty. Additional vagueness is introduced as models become more complex but not necessarily more meaningful by the added details. During the last two decades one has become more and more aware of the fact that not all this uncertainty is of stochastic (random) cha racter and that, therefore, it can not be modelled appropriately by probability theory. This becomes the more obvious the more we want to represent formally human knowledge. As far as uncertain data are concerned, we have neither instru ments nor reasoning at our disposal as well defined and unquestionable as those used in the probability theory. This almost infallible do main is the result of a tremendous work by the whole scientific world. But when measures are dubious, bad or no longer possible and when we really have to make use of the richness of human reasoning in its variety, then the theories dealing with the treatment of uncertainty, some quite new and other ones older, provide the required complement, and fill in the gap left in the field of knowledge representation. Nowadays, various theories are widely used: fuzzy sets, belief function, the convenient associations between probability and fuzzines~ etc --- We are more and more in need of a wide range of instruments and theories to build models that are more and more adapted to the most complex systems. 420 pp. Englisch. Codice articolo 9789027722621
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