Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic, Patricia Melin; Gabriela E. Martinez

Автор: Abdellah Benzaouia; Ahmed El Hajjaji
Название: Advanced Takagi?Sugeno Fuzzy Systems
ISBN: 3319381555 ISBN-13(EAN): 9783319381558
Издательство: Springer
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Цена: 113180.00 T
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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
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Цена: 186330.00 T
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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
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Цена: 149060.00 T
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Автор: George A. Anastassiou
Название: Ordinary and Fractional Approximation by Non-additive Integrals: Choquet, Shilkret and Sugeno Integral Approximators
ISBN: 3030042863 ISBN-13(EAN): 9783030042868
Издательство: Springer
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Цена: 130430.00 T
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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: 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
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Цена: 51230.00 T
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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;

Автор: Rafik Aziz Aliev
Название: Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions
ISBN: 3642348947 ISBN-13(EAN): 9783642348945
Издательство: Springer
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Цена: 139750.00 T
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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: Rafik Aziz Aliev
Название: Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions
ISBN: 3642443435 ISBN-13(EAN): 9783642443435
Издательство: Springer
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Цена: 139310.00 T
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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: Amezcua
Название: New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
ISBN: 3319737724 ISBN-13(EAN): 9783319737720
Издательство: Springer
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Цена: 46570.00 T
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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.

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
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Цена: 111790.00 T
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Описание: Downloadable LabVIEW toolkit and solutions to exercises

Автор: Tan Joey Sing Yee, Sidhu Amandeep S.
Название: Real-Time Knowledge-Based Fuzzy Logic Model for Soft Tissue Deformation
ISBN: 3030155846 ISBN-13(EAN): 9783030155841
Издательство: Springer
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Цена: 93160.00 T
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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.

Автор: Babanli Mustafa B.
Название: Fuzzy Logic-Based Material Selection and Synthesis
ISBN: 9813276568 ISBN-13(EAN): 9789813276567
Издательство: World Scientific Publishing
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Цена: 95040.00 T
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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.

Автор: Ahmed
Название: Fuzzy Logic Based Power-Efficient Real-Time Multi-Core System
ISBN: 9811031193 ISBN-13(EAN): 9789811031199
Издательство: Springer
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Цена: 51230.00 T
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Описание: This book focuses on identifying the performance challenges involved in computer architectures, optimal configuration settings and analysing their impact on the performance of multi-core architectures.