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ISBN 10: 7512133200 ISBN 13: 9787512133204
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Verlag: Physica-Verlag, Physica-Verlag HD, Physica Jan 2002, 2002
ISBN 10: 3790814407 ISBN 13: 9783790814408
Sprache: Englisch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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In den WarenkorbBuch. Zustand: 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.
Verlag: Physica-Verlag HD Okt 2010, 2010
ISBN 10: 3790825018 ISBN 13: 9783790825015
Sprache: Englisch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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In den WarenkorbTaschenbuch. Zustand: 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.
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In den WarenkorbTaschenbuch. Zustand: 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.
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In den WarenkorbBuch. Zustand: 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.
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In den WarenkorbZustand: 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.
Anbieter: moluna, Greven, Deutschland
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In den WarenkorbGebunden. Zustand: 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.