Описание: Ordinary and fractional approximations by non-additive integrals, especially by integral approximators of Choquet, Silkret and Sugeno types, are a new trend in approximation theory. These integrals are only subadditive and only the first two are positive linear, and they produce very fast and flexible approximations based on limited data. The author presents both the univariate and multivariate cases. The involved set functions are much weaker forms of the Lebesgue measure and they were conceived to fulfill the needs of economic theory and other applied sciences.The approaches presented here are original, and all chapters are self-contained and can be read independently. Moreover, the book’s findings are sure to find application in many areas of pure and applied mathematics, especially in approximation theory, numerical analysis and mathematical economics (both ordinary and fractional). Accordingly, it offers a unique resource for researchers, graduate students, and for coursework in the above-mentioned fields, and belongs in all science and engineering libraries.
Автор: Abdellah Benzaouia; Ahmed El Hajjaji Название: Advanced Takagi?Sugeno Fuzzy Systems ISBN: 3319381555 ISBN-13(EAN): 9783319381558 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction to Takagi‒Sugeno Fuzzy Systems.- Stabilization of Fuzzy Systems with Constrained Controls.- Static Output Feedback Control for Fuzzy Systems.- Stabilization of Controlled Positive Discrete-time Takagi‒Sugeno Fuzzy Systems by State Feedback Control.- Delay-Dependent Stabilization Conditions of Controlled Positive Takagi‒Sugeno Fuzzy Systems with Time-Varying Delay.- Stabilization of Positive Takagi‒Sugeno Fuzzy Discrete-Time Systems with Multiple Delays and Bounded Controls.- Robust Control of Takagi‒Sugeno Fuzzy Systems with Time-varying Delay Using New Approach.- Robust Output H1 Fuzzy Control. Stabilization of Two-Dimensional Takagi‒Sugeno Fuzzy Systems by State Feedback Control.- Control of a DC‒DC Converter.
Автор: Hung T. Nguyen; Michio Sugeno Название: Fuzzy Systems ISBN: 1461375150 ISBN-13(EAN): 9781461375159 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions.
Автор: Abdellah Benzaouia; Ahmed El Hajjaji Название: Advanced Takagi?Sugeno Fuzzy Systems ISBN: 3319056387 ISBN-13(EAN): 9783319056388 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Claudia I. Gonzalez; Patricia Melin; Juan R. Castr Название: Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic ISBN: 3319539930 ISBN-13(EAN): 9783319539935 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The proposed generalized type-2 fuzzy edge detection methods were tested with benchmark images and synthetic images, in a grayscale and color format. Another contribution in this book is that the generalized type-2 fuzzy edge detector method is applied in the preprocessing phase of a face rec-ognition system;
Описание: This book presents a new decision theory with imperfect decision-relevant information on environment and a decision maker`s behavior. This theory is based on the synthesis of the fuzzy sets theory with perception-based information and the probability theory.
Автор: Pedro Ponce-Cruz; Arturo Molina; Brian MacCleery Название: Fuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA ISBN: 3319266551 ISBN-13(EAN): 9783319266558 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Downloadable LabVIEW toolkit and solutions to exercises
Автор: Babanli Mustafa B. Название: Fuzzy Logic-Based Material Selection and Synthesis ISBN: 9813276568 ISBN-13(EAN): 9789813276567 Издательство: World Scientific Publishing Рейтинг: Цена: 14256.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This unique compendium presents a comprehensive and self-contained theory of material development under imperfect information and its applications. The book describes new approaches to synthesis and selection of materials with desirable characteristics. Such approaches provide the ability of systematic and computationally effective analysis in order to predict composition, structure and related properties of new materials.
The volume will be a useful advanced textbook for graduate students. It is also suitable for academicians and practitioners who wish to have fundamental models in new material synthesis and selection.
Описание: This book presents a new decision theory with imperfect decision-relevant information on environment and a decision maker`s behavior. This theory is based on the synthesis of the fuzzy sets theory with perception-based information and the probability theory.
Описание: In this book a new model for data classification was developed. Some architectures were developed in order to work mainly with two datasets, an arrhythmia dataset (using ECG signals) for classifying 15 different types of arrhythmias, and a satellite images segments dataset used for classifying six different types of soil.
Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.
Описание: This book provides a real-time and knowledge-based fuzzy logic model for soft tissue deformation. The demand for surgical simulation continues to grow, as there is a major bottleneck in surgical simulation designation and every patient is unique. Deformable models, the core of surgical simulation, play a crucial role in surgical simulation designation. Accordingly, this book (1) presents an improved mass spring model to simulate soft tissue deformation for surgery simulation; (2) ensures the accuracy of simulation by redesigning the underlying Mass Spring Model (MSM) for liver deformation, using three different fuzzy knowledge-based approaches to determine the parameters of the MSM; (3) demonstrates how data in Central Processing Unit (CPU) memory can be structured to allow coalescing according to a set of Graphical Processing Unit (GPU)-dependent alignment rules; and (4) implements heterogeneous parallel programming for the distribution of grid threats for Computer Unified Device Architecture (CUDA)-based GPU computing.
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