Fuzzy Sets Theory and Applications, Andr? Jones; Arnold Kaufmann; Hans-J?rgen Zimmerma
Автор: Andr? Jones; Arnold Kaufmann; Hans-J?rgen Zimmerma Название: Fuzzy Sets Theory and Applications ISBN: 9027722625 ISBN-13(EAN): 9789027722621 Издательство: Springer Рейтинг: Цена: 45979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Описание: Since its inception by Professor Lotfi Zadeh about 18 years ago, the theory of fuzzy sets has evolved in many directions, and is finding applications in a wide variety of fields in which the phenomena under study are too complex or too ill-defined to be analyzed by conventional techniques.
Автор: Oscar Castillo; Patricia Melin Название: Type-2 Fuzzy Logic: Theory and Applications ISBN: 3540762833 ISBN-13(EAN): 9783540762836 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Describes methods for building intelligent systems using type-2 fuzzy logic and soft computing techniques. This work focuses on the use of type-2 fuzzy logic and traditional SC techniques to solve pattern recognition problems in realworld applications.
Автор: Xiaodong Liu; Witold Pedrycz Название: Axiomatic Fuzzy Set Theory and Its Applications ISBN: 3642101461 ISBN-13(EAN): 9783642101465 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume examines Axiomatic Fuzzy Sets (AFS), in which fuzzy sets and probability are treated in a unified and coherent fashion. It presents AFS as a rigorous mathematical theory as well as a flexible methodology for the development of intelligent systems.
Автор: Hans-J?rgen Zimmermann Название: Fuzzy Set Theory—and Its Applications ISBN: 9401587043 ISBN-13(EAN): 9789401587044 Издательство: Springer Рейтинг: Цена: 33751.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book updates the research agenda (which has witnessed profound and startling advances since its inception some 30 years ago) with chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control, fuzzy data analysis, decision making and fuzzy set models in operations research.
Автор: Hans-J?rgen Zimmermann Название: Fuzzy Set Theory — and Its Applications ISBN: 9401579512 ISBN-13(EAN): 9789401579513 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This revised book updates the research agenda, with the chapters of possibility theory, fuzzy logic and approximate reasoning, expert systems and control, decision making and fuzzy set models in operations research being restructured and rewritten.
Автор: Da Ruan Название: Fuzzy Set Theory and Advanced Mathematical Applications ISBN: 0792395867 ISBN-13(EAN): 9780792395867 Издательство: Springer Рейтинг: Цена: 25848.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Includes coverage of the mathematical foundations of the theory, decision making and systems science, and the developments in fuzzy neural control. This book supplies a readable, practical toolkit with an introduction to fuzzy set theory and its evolution in mathematics and results on foundations of fuzzy set theory.
Автор: S.E. Rodabaugh; Erich Peter Klement; Ulrich H?hle Название: Applications of Category Theory to Fuzzy Subsets ISBN: 9401051569 ISBN-13(EAN): 9789401051569 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book has a fundamental relationship to the International Seminar on Fuzzy Set Theory held each September in Linz, Austria. Beginning with the tenth Seminar, the intimate setting was retained, but each Seminar narrowed in theme;
Автор: Da Ruan Название: Fuzzy Set Theory and Advanced Mathematical Applications ISBN: 1461360005 ISBN-13(EAN): 9781461360001 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fuzzy Set Theory and Advanced Mathematical Applications contains contributions by many of the leading experts in the field, including coverage of the mathematical foundations of the theory, decision making and systems science, and recent developments in fuzzy neural control.
Автор: Hans-J?rgen Zimmermann Название: Fuzzy Set Theory—and Its Applications ISBN: 9401038708 ISBN-13(EAN): 9789401038706 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edition includes new chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control, fuzzy data analysis, decision making and fuzzy set models in operations research.
Автор: S.E. Rodabaugh; Erich Peter Klement; Ulrich H?hle Название: Applications of Category Theory to Fuzzy Subsets ISBN: 0792315111 ISBN-13(EAN): 9780792315117 Издательство: Springer Рейтинг: Цена: 40389.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Comprehensively describes the deeper mathematical aspects of fuzzy sets, particularly those aspects which are category-theoretic in nature. Divided into four parts, this book contains bibliography, indices, and long chapters, which make it suitable as a text for advanced graduate students.
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