Advances in Fuzzy Control
Advances in Fuzzy Control

Author: Dimiter Driankov

Publisher: Physica

Published: 2013-04-17

Total Pages: 421

ISBN-13: 3790818860

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Model-based fuzzy control uses a given conventional or a fuzzy open loop of the plant under control in order to derive the set of fuzzy if-then rules constituting the corresponding fuzzy controller. Furthermore, of central interest are the consequent stability, performance, and robustness analysis of the resulting closed loop system involving a conventional model and a fuzzy controller, or a fuzzy model and a fuzzy controller. The major objective of the model-based fuzzy control is to use the full available range of existing linear and nonlinear design of such fuzzy controllers which have better stability, performance, and robustness properties than the corresponding non-fuzzy controllers designed by the use of these same techniques.

Advanced Fuzzy Logic Technologies in Industrial Applications
Advanced Fuzzy Logic Technologies in Industrial Applications

Author: Ying Bai

Publisher: Springer Science & Business Media

Published: 2007-01-17

Total Pages: 342

ISBN-13: 1846284694

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This book introduces a dynamic, on-line fuzzy inference system. In this system membership functions and control rules are not determined until the system is applied and each output of its lookup table is calculated based on current inputs. The book describes the real-world uses of new fuzzy techniques to simplify readers’ tuning processes and enhance the performance of their control systems. It further contains application examples.

Fuzzy Logic, Identification and Predictive Control
Fuzzy Logic, Identification and Predictive Control

Author: Jairo Jose Espinosa Oviedo

Publisher: Springer Science & Business Media

Published: 2007-01-04

Total Pages: 274

ISBN-13: 1846280877

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Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement” rather than simple "yes/no”, "on/off” responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose. Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining. This monograph presents a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.

Advanced Fuzzy Logic Approaches in Engineering Science
Advanced Fuzzy Logic Approaches in Engineering Science

Author: Ram, Mangey

Publisher: IGI Global

Published: 2018-09-14

Total Pages: 507

ISBN-13: 1522557105

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Fuzzy logic techniques have had extraordinary growth in various engineering systems. The developments in engineering sciences have caused apprehension in modern years due to high-tech industrial processes with ever-increasing levels of complexity. Advanced Fuzzy Logic Approaches in Engineering Science provides innovative insights into a comprehensive range of soft fuzzy logic techniques applied in various fields of engineering problems like fuzzy sets theory, adaptive neuro fuzzy inference system, and hybrid fuzzy logic genetic algorithms belief networks in industrial and engineering settings. The content within this publication represents the work of particle swarms, fuzzy computing, and rough sets. It is a vital reference source for engineers, research scientists, academicians, and graduate-level students seeking coverage on topics centered on the applications of fuzzy logic in high-tech industrial processes.

Fuzzy Logic for Business, Finance, and Management
Fuzzy Logic for Business, Finance, and Management

Author: George Bojadziev

Publisher: World Scientific

Published: 2007

Total Pages: 253

ISBN-13: 9812770623

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This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems especially when humans are involved. Fuzzy logic uses human experience and judgement to facilitate plausible reasoning in order to reach a conclusion. Emphasis is on applications presented in the 27 case studies including Time Forecasting for Project Management, New Product Pricing, and Control of a Parasit-Pest System.

Fuzzy-logic-based Programming
Fuzzy-logic-based Programming

Author: Chin-Liang Chang

Publisher: World Scientific

Published: 1997

Total Pages: 258

ISBN-13: 9789810230708

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The number of fuzzy logic applications is very large. This book tells the reader how to use fuzzy logic to find solutions in areas such as control systems, factory automation, product quality control, product inspection, instrumentation, pattern recognition, image analysis, database query processing, decision support, data mining, time series (waveform) databases, geographic information systems, and image databases. Those who have applications in these areas will find the book invaluable.The author was the first student to write a PhD fuzzy logic thesis under Professor Lotfi A Zadeh (the inventor of fuzzy logic), in 1967 at the University of California, Berkeley. In 1993, he designed and introduced the NICEL language for writing fuzzy programs that enclose if-then rules. NICEL is powerful and easy to use. The reader will find in the book that many algorithms for real world applications can be conveniently represented in NICEL.

Recent Advances in Intuitionistic Fuzzy Logic Systems and Mathematics
Recent Advances in Intuitionistic Fuzzy Logic Systems and Mathematics

Author: Said Melliani

Publisher: Springer Nature

Published: 2020-10-12

Total Pages: 285

ISBN-13: 3030539296

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This book provides an overview of the state-of-the-art in both the theory and methods of intuitionistic fuzzy logic, partial differential equations and numerical methods in informatics. Covering topics such as fuzzy intuitionistic Hilbert spaces, intuitionistic fuzzy differential equations, fuzzy intuitionistic metric spaces, and numerical methods for differential equations, it discusses applications such as fuzzy real-time scheduling, intelligent control, diagnostics and time series prediction. The book features selected contributions presented at the 6th international congress of the Moroccan Applied Mathematics Society, which took place at Sultan Moulay Slimane University Beni Mellal, Morocco, from 7 to 9 November 2019.

Theoretical Advances and Applications of Fuzzy Logic and Soft Computing
Theoretical Advances and Applications of Fuzzy Logic and Soft Computing

Author: Oscar Castillo

Publisher: Springer Science & Business Media

Published: 2007-10-10

Total Pages: 626

ISBN-13: 3540724346

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This book comprises a selection of papers on theoretical advances and applications of fuzzy logic and soft computing from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007. These papers constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies.

Fuzzy Logic And Soft Computing
Fuzzy Logic And Soft Computing

Author: Bernadette Bouchon-meunier

Publisher: World Scientific

Published: 1995-09-15

Total Pages: 509

ISBN-13: 9814500089

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Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems. The principal components of soft computing are fuzzy logic, neurocomputing, genetic algorithms and probabilistic reasoning.This volume is a collection of up-to-date articles giving a snapshot of the current state of the field. It covers the whole expanse, from theoretical foundations to applications. The contributors are among the world leaders in the field.

Recent Developments in Fuzzy Logic and Fuzzy Sets
Recent Developments in Fuzzy Logic and Fuzzy Sets

Author: Shahnaz N. Shahbazova

Publisher: Springer Nature

Published: 2020-03-05

Total Pages: 213

ISBN-13: 303038893X

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This book provides a timely and comprehensive overview of current theories and methods in fuzzy logic, as well as relevant applications in a variety of fields of science and technology. Dedicated to Lotfi A. Zadeh on his one year death anniversary, the book goes beyond a pure commemorative text. Yet, it offers a fresh perspective on a number of relevant topics, such as computing with words, theory of perceptions, possibility theory, and decision-making in a fuzzy environment. Written by Zadeh’s closest colleagues and friends, the different chapters are intended both as a timely reference guide and a source of inspiration for scientists, developers and researchers who have been dealing with fuzzy sets or would like to learn more about their potential for their future research.