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Published by China Electric Power Press, 2024
ISBN 10: 7519882799 ISBN 13: 9787519882792
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paperback. Condition: New. Paperback. Pub Date: 2024-04 Pages: 271 Language: Chinese Publisher: China Electric Power Press This book is a textbook for the 14th Five-Year Plan of the national power industry. The book is divided into 3 parts and 13 chapters. The main contents include overview. data and statistical analysis. random variables and probability distribution. regression analysis and prediction. linear programming and duality theory. integer programming. transportation and assignment problems. system simulation.
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Language: English
Published by Taylor & Francis Inc, 2017
ISBN 10: 1498753558 ISBN 13: 9781498753555
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Published by Springer-Verlag GmbH, 2007
ISBN 10: 3540737227 ISBN 13: 9783540737223
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Published by American Society of Civil Engineers, 2013
ISBN 10: 0784412871 ISBN 13: 9780784412879
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Taschenbuch. Condition: Neu. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models | Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision | Humberto Bustince (u. a.) | Taschenbuch | xx | Englisch | 2010 | Springer Berlin | EAN 9783642092909 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer Berlin Heidelberg, 2010
ISBN 10: 364209290X ISBN 13: 9783642092909
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Fuzzy Sets and Their Extensions: Representation, Aggregation and Models Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision Fuzzy sets are now more than 40 years old, and have come of age. However, the development of fuzzy set theory at the theoretical level, and its successful appli- tions to science and technology have often run in isolation. Only a little part of the theoretical apparatus was effectively used in past applications. The most prominent ones, namely fuzzy rule-based modeling and control engineering, were directly - spired from a seminal paper by Lot Zadeh in 1973, suggesting how to use expert knowledge for synthetizing control laws, and from the rst experiments published by Abe Mamdani. Later in the eighties, when spectacular applications were bl- soming in Japan, fuzzy rule-based systems were systematized and simpli ed by Michio Sugeno and colleagues, and became a basic approach to non-linear system modeling and control, soon hybridized with neural networks in the nineties. Thus fuzzy systems signi cantly contributed to the raise of computational intelligence, and a lot of learning techniques for the construction of (supposedly interpretable) fuzzy models from data were developed under the ag of soft computing. Even if this area was quite successful, it is patent that the role, in the success of fuzzy logic, of new fuzzy set-related concepts developed quite at the same time in themathematicalnicheofthefuzzyset communitywaslimited.
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Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2007
ISBN 10: 3540737227 ISBN 13: 9783540737223
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Fuzzy Sets and Their Extensions: Representation, Aggregation and Models Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision Fuzzy sets are now more than 40 years old, and have come of age. However, the development of fuzzy set theory at the theoretical level, and its successful appli- tions to science and technology have often run in isolation. Only a little part of the theoretical apparatus was effectively used in past applications. The most prominent ones, namely fuzzy rule-based modeling and control engineering, were directly - spired from a seminal paper by Lot Zadeh in 1973, suggesting how to use expert knowledge for synthetizing control laws, and from the rst experiments published by Abe Mamdani. Later in the eighties, when spectacular applications were bl- soming in Japan, fuzzy rule-based systems were systematized and simpli ed by Michio Sugeno and colleagues, and became a basic approach to non-linear system modeling and control, soon hybridized with neural networks in the nineties. Thus fuzzy systems signi cantly contributed to the raise of computational intelligence, and a lot of learning techniques for the construction of (supposedly interpretable) fuzzy models from data were developed under the ag of soft computing. Even if this area was quite successful, it is patent that the role, in the success of fuzzy logic, of new fuzzy set-related concepts developed quite at the same time in themathematicalnicheofthefuzzyset communitywaslimited.
Language: English
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 364209290X ISBN 13: 9783642092909
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