carlo bertoluzza (24 resultados)

Condición: Very Good. 323 pp., hardcover, faint age toning to edges, else very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Condición: New. In.

Condición: New.

Condición: New.

Condición: New. In.

Condición: New. In.

Condición: New. Editor(s): Bertoluzza, Carlo; Gil, Maria A.; Ralescu, Dan A. Series: Studies in Fuzziness and Soft Computing. Num Pages: 309 pages, 9 black & white tables, biography. BIC Classification: PBT; PBWX; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 17. Weight in Grams: 498. . 2010. Softcover reprint of hardcover 1st ed. 2002. Paperback. . . . .

Condición: New. States the complementary rather than competitive relationship between Probability and Fuzzy Set Theory and allows solutions to real life problems with suitable combinations of both theories. Editor(s): Bertoluzza, Carlo; Gil, M. Angeles; Ralescu, Dan A. Series: Studies in Fuzziness and Soft Computing. Num Pages: 309 pages, 9 black & white tables, biography. BIC Classification: PBT; PBWX; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 164 x 238 x 26. Weight in Grams: 626. . 2002. Hardback. . . . .

Condición: New. Editor(s): Bertoluzza, Carlo; Gil, Maria A.; Ralescu, Dan A. Series: Studies in Fuzziness and Soft Computing. Num Pages: 309 pages, 9 black & white tables, biography. BIC Classification: PBT; PBWX; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 17. Weight in Grams: 498. . 2010. Softcover reprint of hardcover 1st ed. 2002. Paperback. . . . . Books ship from the US and Ireland.

Buch. Condición: Neu. Neuware -'Statistical Modeling, Analysis and Management of Fuzzy Data,' or SMFD for short, is an important contribution to a better understanding of a basic issue -an issue which has been controversial, and still is though to a lesser degree. In substance, the issue is: are fuzziness and randomness distinct or coextensive facets of uncertainty Are the theories of fuzziness and random ness competitive or complementary In SMFD, these and related issues are addressed with rigor, authority and insight by prominent contributors drawn, in the main, from probability theory, fuzzy set theory and data analysis com munities. First, a historical perspective. The almost simultaneous births -close to half a century ago-of statistically-based information theory and cybernetics were two major events which marked the beginning of the steep ascent of probability theory and statistics in visibility, influence and importance. I was a student when information theory and cybernetics were born, and what is etched in my memory are the fascinating lectures by Shannon and Wiener in which they sketched their visions of the coming era of machine intelligence and automation of reasoning and decision processes. What I heard in those lectures inspired one of my first papers (1950) 'An Extension of Wiener's Theory of Prediction,' and led to my life-long interest in probability theory and its applications to information processing, decision analysis and control.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 328 pp. Englisch.

21 x 20 cm. Pagg. 211 con moltissimi ex libris Buonissimo stato di conservazione Legatura editoriale in brossura.

Condición: New. States the complementary rather than competitive relationship between Probability and Fuzzy Set Theory and allows solutions to real life problems with suitable combinations of both theories. Editor(s): Bertoluzza, Carlo; Gil, M. Angeles; Ralescu, Dan A. Series: Studies in Fuzziness and Soft Computing. Num Pages: 309 pages, 9 black & white tables, biography. BIC Classification: PBT; PBWX; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 164 x 238 x 26. Weight in Grams: 626. . 2002. Hardback. . . . . Books ship from the US and Ireland.

Ed. f.c. riservata agli Amici del Centro Culturale F.lli Bronzetti, alle Biblioteche e agli Enti Culturali della Provincia di Trento. Contiene quattro xilografie originali dell'artista e numerose riproduzioni dei sui lavori con le relative schede. Formato: 211 p., 21x21 cm, bross.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Statistical Modeling, Analysis and Management of Fuzzy Data,' or SMFD for short, is an important contribution to a better understanding of a basic issue -an issue which has been controversial, and still is though to a lesser degree. In substance, the issue is: are fuzziness and randomness distinct or coextensive facets of uncertainty Are the theories of fuzziness and random ness competitive or complementary In SMFD, these and related issues are addressed with rigor, authority and insight by prominent contributors drawn, in the main, from probability theory, fuzzy set theory and data analysis com munities. First, a historical perspective. The almost simultaneous births -close to half a century ago-of statistically-based information theory and cybernetics were two major events which marked the beginning of the steep ascent of probability theory and statistics in visibility, influence and importance. I was a student when information theory and cybernetics were born, and what is etched in my memory are the fascinating lectures by Shannon and Wiener in which they sketched their visions of the coming era of machine intelligence and automation of reasoning and decision processes. What I heard in those lectures inspired one of my first papers (1950) 'An Extension of Wiener's Theory of Prediction,' and led to my life-long interest in probability theory and its applications to information processing, decision analysis and control. 309 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The contributions in this book state the complementary rather than competitive relationship between Probability and Fuzzy Set Theory and allow solutions to real life problems with suitable combinations of both theories. 324 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. States the complementary rather than competitive relationship between Probability and Fuzzy Set TheoryAllows solutions to reallife problems with suitable combinations of both theoriesThe contributions in this book state the complementary rather t.

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. States the complementary rather than competitive relationship between Probability and Fuzzy Set TheoryAllows solutions to reallife problems with suitable combinations of both theoriesThe contributions in this book state the complementary rather t.

Buch. Condición: Neu. Statistical Modeling, Analysis and Management of Fuzzy Data | Carlo Bertoluzza (u. a.) | Buch | xiv | Englisch | 2002 | Physica | EAN 9783790814408 | Verantwortliche Person für die EU: Physica Verlag in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Taschenbuch. Condición: Neu. Statistical Modeling, Analysis and Management of Fuzzy Data | Carlo Bertoluzza (u. a.) | Taschenbuch | xiv | Englisch | 2010 | Physica | EAN 9783790825015 | Verantwortliche Person für die EU: Physica Verlag in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Statistical Modeling, Analysis and Management of Fuzzy Data,' or SMFD for short, is an important contribution to a better understanding of a basic issue -an issue which has been controversial, and still is though to a lesser degree. In substance, the issue is: are fuzziness and randomness distinct or coextensive facets of uncertainty Are the theories of fuzziness and random ness competitive or complementary In SMFD, these and related issues are addressed with rigor, authority and insight by prominent contributors drawn, in the main, from probability theory, fuzzy set theory and data analysis com munities. First, a historical perspective. The almost simultaneous births -close to half a century ago-of statistically-based information theory and cybernetics were two major events which marked the beginning of the steep ascent of probability theory and statistics in visibility, influence and importance. I was a student when information theory and cybernetics were born, and what is etched in my memory are the fascinating lectures by Shannon and Wiener in which they sketched their visions of the coming era of machine intelligence and automation of reasoning and decision processes. What I heard in those lectures inspired one of my first papers (1950) 'An Extension of Wiener's Theory of Prediction,' and led to my life-long interest in probability theory and its applications to information processing, decision analysis and control.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 324 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Statistical Modeling, Analysis and Management of Fuzzy Data,' or SMFD for short, is an important contribution to a better understanding of a basic issue -an issue which has been controversial, and still is though to a lesser degree. In substance, the issue is: are fuzziness and randomness distinct or coextensive facets of uncertainty Are the theories of fuzziness and random ness competitive or complementary In SMFD, these and related issues are addressed with rigor, authority and insight by prominent contributors drawn, in the main, from probability theory, fuzzy set theory and data analysis com munities. First, a historical perspective. The almost simultaneous births -close to half a century ago-of statistically-based information theory and cybernetics were two major events which marked the beginning of the steep ascent of probability theory and statistics in visibility, influence and importance. I was a student when information theory and cybernetics were born, and what is etched in my memory are the fascinating lectures by Shannon and Wiener in which they sketched their visions of the coming era of machine intelligence and automation of reasoning and decision processes. What I heard in those lectures inspired one of my first papers (1950) 'An Extension of Wiener's Theory of Prediction,' and led to my life-long interest in probability theory and its applications to information processing, decision analysis and control.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Statistical Modeling, Analysis and Management of Fuzzy Data,' or SMFD for short, is an important contribution to a better understanding of a basic issue -an issue which has been controversial, and still is though to a lesser degree. In substance, the issue is: are fuzziness and randomness distinct or coextensive facets of uncertainty Are the theories of fuzziness and random ness competitive or complementary In SMFD, these and related issues are addressed with rigor, authority and insight by prominent contributors drawn, in the main, from probability theory, fuzzy set theory and data analysis com munities. First, a historical perspective. The almost simultaneous births -close to half a century ago-of statistically-based information theory and cybernetics were two major events which marked the beginning of the steep ascent of probability theory and statistics in visibility, influence and importance. I was a student when information theory and cybernetics were born, and what is etched in my memory are the fascinating lectures by Shannon and Wiener in which they sketched their visions of the coming era of machine intelligence and automation of reasoning and decision processes. What I heard in those lectures inspired one of my first papers (1950) 'An Extension of Wiener's Theory of Prediction,' and led to my life-long interest in probability theory and its applications to information processing, decision analysis and control.