Applications of Category Theory to Fuzzy Subsets, S.E. Rodabaugh; Erich Peter Klement; Ulrich H?hle
Автор: Awodey, Steve Название: Introduction to Category Theory (Paperback) ISBN: 0199237182 ISBN-13(EAN): 9780199237180 Издательство: Oxford Academ Рейтинг: Цена: 8696.00 р. 9662.00-10% Наличие на складе: Есть (1 шт.) Описание: A comprehensive reference to category theory for students and researchers in mathematics, computer science, logic, cognitive science, linguistics, and philosophy. Useful for self-study and as a course text, the book includes all basic definitions and theorems (with full proofs), as well as numerous examples and exercises.
Автор: Leinster Название: Basic Category Theory ISBN: 1107044243 ISBN-13(EAN): 9781107044241 Издательство: Cambridge Academ Рейтинг: Цена: 8237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Assuming little mathematical background, this short introduction to category theory is ideal for beginning graduate students or advanced undergraduates learning category theory for the first time. Suitable for independent study or as a course book, it gives extensive explanations of the key concepts along with hundreds of examples and exercises.
Автор: David H. Pitt; Pierre-Louis Curien; Samson Abramsk Название: Category Theory and Computer Science ISBN: 354054495X ISBN-13(EAN): 9783540544951 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The papers in this volume were presented at the fourthbiennial Summer Conference on Category Theory and ComputerScience, held in Paris, September3-6, 1991. Domain theory: syntheticdomain theory develops domain theory internally in theconstructive universe of the effective topos.
Автор: David H. Pitt; Axel Poigne; David E. Rydeheard Название: Category Theory and Computer Science ISBN: 3540185089 ISBN-13(EAN): 9783540185086 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: 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: Ulrich H?hle; Erich Peter Klement Название: Non-Classical Logics and their Applications to Fuzzy Subsets ISBN: 9401040966 ISBN-13(EAN): 9789401040969 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Non-Classical Logics and their Applications to Fuzzy Subsets is the first major work devoted to a careful study of various relations between non-classical logics and fuzzy sets. Part B gives a coherent and current account of topos-like categories for fuzzy set theory based on Heyting algebra valued sets, quantal sets of M-valued sets.
Автор: Eugenio Moggi; Giuseppe Rosolini Название: Category Theory and Computer Science ISBN: 354063455X ISBN-13(EAN): 9783540634553 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presenting the proceedings of the seventh International Conference on Category Theory and Computer Science, CTCS `97, this monograph addresses a range of topics in the field, including: reasoning principles for types; rewriting; program semantics; and structuring of logical 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.
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: Andr? Jones; Arnold Kaufmann; Hans-J?rgen Zimmerma Название: Fuzzy Sets Theory and Applications ISBN: 9401085811 ISBN-13(EAN): 9789401085816 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the NATO Advanced Study Institute, Louvain-la-Neuve, Belgium, July 8-20, 1985
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.
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