Fuzzy Hardware, Abraham Kandel; Gideon Langholz

Автор: Zhang Huaguang, Liu Derong
Название: Fuzzy Modeling and Fuzzy Control
ISBN: 0817644911 ISBN-13(EAN): 9780817644918
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fuzzy logic methodology is effective in dealing with complex nonlinear systems containing uncertainties that are tough to model. Technology based on this methodology has been applied to real-world problems, especially in consumer products. This book presents treatment of fuzzy modeling and fuzzy control, offering tools for control of such systems.

Автор: Hongyi Li; Ligang Wu; Hak-Keung Lam; Yabin Gao
Название: Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems
ISBN: 9811005923 ISBN-13(EAN): 9789811005923
Издательство: Springer
Рейтинг:
Цена: 121890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances.

Автор: Barnabas Bede
Название: Mathematics of Fuzzy Sets and Fuzzy Logic
ISBN: 3642352200 ISBN-13(EAN): 9783642352201
Издательство: Springer
Рейтинг:
Цена: 148020.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This mathematically-based introduction to the fascinating topic of Fuzzy Sets and Fuzzy Logic presents a theoretical introduction to Fuzzy Sets based on Mathematical Analysis and Approximation Theory, with well-known applications and advanced topics.

Автор: Kahraman
Название: Fuzzy Statistical Decision-Making
ISBN: 3319390120 ISBN-13(EAN): 9783319390123
Издательство: Springer
Рейтинг:
Цена: 139310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas and developments.

Автор: Abraham Kandel; Gideon Langholz
Название: Fuzzy Hardware
ISBN: 1461368316 ISBN-13(EAN): 9781461368311
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Carlsson, Christer Fedrizzi, Mario Fuller, Robert
Название: Fuzzy logic in management
ISBN: 1461347440 ISBN-13(EAN): 9781461347446
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows how the application of fuzzy logic can benefit management, group decision making, strategic planning, supply chain management and other business imperatives.

Автор: Susanne Saminger-Platz; Radko Mesiar
Название: On Logical, Algebraic, and Probabilistic Aspects of Fuzzy Set Theory
ISBN: 3319288075 ISBN-13(EAN): 9783319288079
Издательство: Springer
Рейтинг:
Цена: 121890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is a collection of contributionsby leading experts, developed around traditional themes discussed at the annualLinz Seminars on Fuzzy Set Theory.

Автор: Gao
Название: Universal Fuzzy Controllers for Non-affine Nonlinear Systems
ISBN: 9811019738 ISBN-13(EAN): 9789811019739
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This thesis provides a systematic and integral answer to an open problem concerning the universality of dynamic fuzzy controllers. It presents a number of novel ideas and approaches to various issues including universal function approximation, universal fuzzy models, universal fuzzy stabilization controllers, and universal fuzzy integral sliding mode controllers. The proposed control design criteria can be conveniently verified using the MATLAB toolbox. Moreover, the thesis provides a new, easy-to-use form of fuzzy variable structure control. Emphasis is given to the point that, in the context of deterministic/stochastic systems in general, the authors are in fact discussing non-affine nonlinear systems using a class of generalized T-S fuzzy models, which offer considerable potential in a wide range of applications.

Автор: Steeb Willi-Hans
Название: Nonlinear Workbook, The: Chaos, Fractals, Cellular Automata, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic With C++, Java And Symbolicc++ Programs (5Th Edition)
ISBN: 9814335770 ISBN-13(EAN): 9789814335775
Издательство: World Scientific Publishing
Рейтинг:
Цена: 119330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides a comprehensive treatment of all the techniques in nonlinear dynamics together with C++, Java and SymbolicC++ implementations. This book not only covers the theoretical aspects of the topics but also provides the practical tools. To understand the material, it includes more than 100 worked out examples and 150 ready to run programs.

Автор: Sanchez
Название: Type-2 Fuzzy Granular Models
ISBN: 3319412876 ISBN-13(EAN): 9783319412870
Издательство: Springer
Рейтинг:
Цена: 51230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A series of methods for the formation of higher-type information granules represented by Interval Type-2 Fuzzy Sets are also shown, via multiple approaches, such as Coefficient of Variation, principle of justifiable granularity, uncertainty-based information concept, and numerical evidence based.