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Fuzzy Logic Tools. Reference manual v1.0

Fuzzy Logic Tools. Reference manual v1.0 PDF Author: Antonio Javier Barragán Piña
Publisher: A. Javier Barragán Piña
ISBN: 8415147325
Category :
Languages : en
Pages : 237

Book Description
This manual documents the use of Fuzzy Logic Tools (FLT), a C++ framework for storage, analysis and design of fully general multiple-input multiple-output (MIMO) Takagi-Sugeno fuzzy control systems, without constraints in the order of either the inputs or the output vectors. This reference manual is intended as a reference work for those developers wishing to use the tools provided by the FLT. Therefore, the text is structured following the typical pattern of reference manuals. Firstly, a general description of the variables, functions, classes, methods and attributes included in the software is presented. Then each of these items is studied in depth. Finally, some examples of using the FLT are included. These functions can be used for the analysis and design of TS-type fuzzy control. With the intention of making our work available to the entire scientific community, FLT is licensed under GPLv3, so you can use it freely if it meets the requirements of such license (see http://www.gnu.org/licenses/gpl.html). With the same intention, this document is licensed under a Creative Commons Attribution-ShareAlike 3.0 License, approved for Free Cultural Works initiative. This work is in continuous evolution and improvement. If you are interested can stay informed of new versions, bugs, and other information about the project at http://uhu.es/antonio.barragan/flt

Fuzzy Logic Tools. Reference manual v1.0

Fuzzy Logic Tools. Reference manual v1.0 PDF Author: Antonio Javier Barragán Piña
Publisher: A. Javier Barragán Piña
ISBN: 8415147325
Category :
Languages : en
Pages : 237

Book Description
This manual documents the use of Fuzzy Logic Tools (FLT), a C++ framework for storage, analysis and design of fully general multiple-input multiple-output (MIMO) Takagi-Sugeno fuzzy control systems, without constraints in the order of either the inputs or the output vectors. This reference manual is intended as a reference work for those developers wishing to use the tools provided by the FLT. Therefore, the text is structured following the typical pattern of reference manuals. Firstly, a general description of the variables, functions, classes, methods and attributes included in the software is presented. Then each of these items is studied in depth. Finally, some examples of using the FLT are included. These functions can be used for the analysis and design of TS-type fuzzy control. With the intention of making our work available to the entire scientific community, FLT is licensed under GPLv3, so you can use it freely if it meets the requirements of such license (see http://www.gnu.org/licenses/gpl.html). With the same intention, this document is licensed under a Creative Commons Attribution-ShareAlike 3.0 License, approved for Free Cultural Works initiative. This work is in continuous evolution and improvement. If you are interested can stay informed of new versions, bugs, and other information about the project at http://uhu.es/antonio.barragan/flt

Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools PDF Author: József Dombi
Publisher: Springer Nature
ISBN: 3030722805
Category : Technology & Engineering
Languages : en
Pages : 186

Book Description
The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable – and even, in many cases, more efficient. Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and deep learning to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.

Industrial Applications of Fuzzy Logic and Intelligent Systems

Industrial Applications of Fuzzy Logic and Intelligent Systems PDF Author: John Yen
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN:
Category : Computers
Languages : en
Pages : 414

Book Description
Introduction to fuzzy logic control. History of industrial applications of fuzzy logic in Japan. Fuzzy logic applications at OMRON Corporation. Survey of fuzzy logic applications in image-processing equipment. Applications of neural networks and fuzzy logic to consumer products. Knowledge processing based on fuzzy associative memory and its application to a helicopter control. Fuzzy logic hierarchical controller for a recuperative turboshaft engine: from mode selection to mode melding. Progress in reseacrh on autonomous vehicle motion planning. Autonomous navigation of a mobile robot using the behaviorist theory and VLSI fuzzy inferencing chips. Artificial intelligence, fuzzy logic, and sensor clusters. Intelligent sensor systems for space operations. Two automated tuning methods for fuzzy logic-based process control. On fuzzy control of nonchlorofluorocarbon air-conditioning systems. Fuzzy logic applications in Europe. Software tools for fuzzy control.

Fuzzy Logic for Business, Finance, and Management

Fuzzy Logic for Business, Finance, and Management PDF Author: George Bojadziev
Publisher: World Scientific
ISBN: 9812770623
Category : Business & Economics
Languages : en
Pages : 253

Book Description
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 for Business and Industry

Fuzzy Logic for Business and Industry PDF Author: Earl Cox
Publisher: Delmar Thomson Learning
ISBN: 9781886801011
Category : Business & Economics
Languages : en
Pages : 601

Book Description
In his sequel to the bestselling, "Fuzzy Systems Handbook", the foremost authority on the applications of fuzzy logic presents actual models and case studies from business and industry. This hands-on book/disk package contains fuzzy modelling concepts and software that will be used throughout the industry.

Uncertain Rule-based Fuzzy Logic Systems

Uncertain Rule-based Fuzzy Logic Systems PDF Author: Jerry M. Mendel
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 584

Book Description
Jerry Mendel explains the complete development of fuzzy logic systems and explores a new methodology to build better and more intelligent systems. Two case studies are carried throughout the book to illustrate and expand on the theories introduced.

Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems

Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems PDF Author: Lotfi Asker Zadeh
Publisher: World Scientific
ISBN: 9789810224219
Category : Computers
Languages : en
Pages : 848

Book Description
This book consists of selected papers written by the founder of fuzzy set theory, Lotfi A Zadeh. Since Zadeh is not only the founder of this field, but has also been the principal contributor to its development over the last 30 years, the papers contain virtually all the major ideas in fuzzy set theory, fuzzy logic, and fuzzy systems in their historical context. Many of the ideas presented in the papers are still open to further development. The book is thus an important resource for anyone interested in the areas of fuzzy set theory, fuzzy logic, and fuzzy systems, as well as their applications. Moreover, the book is also intended to play a useful role in higher education, as a rich source of supplementary reading in relevant courses and seminars.The book contains a bibliography of all papers published by Zadeh in the period 1949-1995. It also contains an introduction that traces the development of Zadeh's ideas pertaining to fuzzy sets, fuzzy logic, and fuzzy systems via his papers. The ideas range from his 1965 seminal idea of the concept of a fuzzy set to ideas reflecting his current interest in computing with words ? a computing in which linguistic expressions are used in place of numbers.Places in the papers, where each idea is presented can easily be found by the reader via the Subject Index.

Neural and Fuzzy Logic Control of Drives and Power Systems

Neural and Fuzzy Logic Control of Drives and Power Systems PDF Author: Marcian Cirstea
Publisher: Newnes
ISBN: 9780750655583
Category : Education
Languages : en
Pages : 416

Book Description
*Introduces cutting-edge control systems to a wide readership of engineers and students *The first book on neuro-fuzzy control systems to take a practical, applications-based approach, backed up with worked examples and case studies *Learn to use VHDL in real-world applications Introducing cutting edge control systems through real-world applications Neural networks and fuzzy logic based systems offer a modern control solution to AC machines used in variable speed drives, enabling industry to save costs and increase efficiency by replacing expensive and high-maintenance DC motor systems. The use of fast micros has revolutionised the field with sensorless vector control and direct torque control. This book reflects recent research findings and acts as a useful guide to the new generation of control systems for a wide readership of advanced undergraduate and graduate students, as well as practising engineers. The authors guide readers quickly and concisely through the complex topics of neural networks, fuzzy logic, mathematical modelling of electrical machines, power systems control and VHDL design. Unlike the academic monographs that have previously been published on each of these subjects, this book combines them and is based round case studies of systems analysis, control strategies, design, simulation and implementation. The result is a guide to applied control systems design that will appeal equally to students and professional design engineers. The book can also be used as a unique VHDL design aid, based on real-world power engineering applications.

Theoretical Advances and Applications of Fuzzy Logic and Soft Computing

Theoretical Advances and Applications of Fuzzy Logic and Soft Computing PDF Author: Oscar Castillo
Publisher: Springer Science & Business Media
ISBN: 3540724346
Category : Technology & Engineering
Languages : en
Pages : 626

Book Description
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-based Programming

Fuzzy-logic-based Programming PDF Author: Chin-Liang Chang
Publisher: World Scientific
ISBN: 9789810230708
Category : Computers
Languages : en
Pages : 258

Book Description
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.