9789027722621 - Fuzzy Sets Theory and Applications: 177 (nato Science Series C:, 177) (14 results)
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Fuzzy Sets Theory and Applications (Nato Science Series C:)
Jones, Andr�© [Editor]; Kaufmann, Arnold [Editor]; Zimmermann, Hans-J�¼rgen [Editor];
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Seller: GuthrieBooks, Spring Branch, TX, U.S.A.GuthrieBooks
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Hardcover. Condition: Very Good. Ex-Library hardcover in very nice condition with the usual markings and attachments. Text block clean and unmarked. Tight binding.
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Seller: Antiquariat Deinbacher, Murstetten, AustriaAntiquariat Deinbacher
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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.
Language: English
Published by D. Reidel Publishing Company, Dordrecht ; Boston ; Lancaster ; Tokyo, 1986
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Hardcover. Condition: Very Good. xii, 403 p. Boards square, corners sharp; internally fine. 860 grams.
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Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Condition: New. In.
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Seller: moluna, Greven, Germanymoluna
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Gebunden. Condition: New.
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Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. pp. 420.
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Language: English
Published by Springer Netherlands, Springer Netherlands, 1986
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: 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.
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Condition: Used - Near fine
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Couverture rigide. Condition: 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.
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Condition: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
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Seller: preigu, Osnabrück, Germanypreigu
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Buch. Condition: Neu. Fuzzy Sets Theory and Applications | André Jones (u. a.) | Buch | xii | Englisch | 1986 | Springer Netherland | EAN 9789027722621 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Language: English
Published by Springer Netherlands, Springer Netherlands Jun 1986, 1986
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Buch. Condition: 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 mor…e 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.
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Condition: New. Print on Demand pp. 420 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 420.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: 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.
