Articles liés à Fuzzy Sets Theory and Applications
Synopsis
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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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. N° de réf. du vendeur 144342
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Fuzzy Sets Theory and Applications (Nato Science Series C:)
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Springer, 1986
ISBN 10 : 9027722625
ISBN 13 : 9789027722621
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Hardcover. Etat : Very Good. Ex-Library hardcover in very nice condition with the usual markings and attachments. Text block clean and unmarked. Tight binding. N° de réf. du vendeur GL17A33644
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Fuzzy sets theory and applications
ISBN 10 : 9027722625
ISBN 13 : 9789027722621
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Hardcover. Etat : Very Good. xii, 403 p. Boards square, corners sharp; internally fine. 860 grams. N° de réf. du vendeur 002118
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Fuzzy Sets Theory and Applications
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Springer Netherlands, 1986
ISBN 10 : 9027722625
ISBN 13 : 9789027722621
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Fuzzy Sets Theory and Applications (Nato Science Series C:, 177)
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Fuzzy Sets Theory and Applications
Edité par
Springer Netherlands, Springer Netherlands Jun 1986, 1986
ISBN 10 : 9027722625
ISBN 13 : 9789027722621
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : 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. N° de réf. du vendeur 9789027722621
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Fuzzy Sets Theory and Applications
Edité par
Springer Netherlands, Springer Netherlands, 1986
ISBN 10 : 9027722625
ISBN 13 : 9789027722621
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : 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. N° de réf. du vendeur 9789027722621
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Fuzzy Sets Theory and Applications (Nato Science Series C:, 177)
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Etat : New. N° de réf. du vendeur ABLIING23Apr0316110331838
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FUZZY SETS THEORY AND APPLICATIONS
Edité par
D. Reidel Publishing Co., 1986
ISBN 10 : 9027722625
ISBN 13 : 9789027722621
Ancien ou d'occasion
Couverture rigide
Vendeur : Le-Livre, SABLONS, France
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Couverture rigide. Etat : 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. N° de réf. du vendeur RO60066348
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Fuzzy Sets Theory and Applications
Edité par
Springer Netherlands Jun 1986, 1986
ISBN 10 : 9027722625
ISBN 13 : 9789027722621
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : 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. N° de réf. du vendeur 9789027722621
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