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Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems

Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems
Author: Andras Bardossy
Publisher: CRC Press
Total Pages: 0
Release: 2022-10-07
Genre: Technology & Engineering
ISBN: 042960534X

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This book presents in a systematic and comprehensive manner the modeling of uncertainty, vagueness, or imprecision, alias "fuzziness," in just about any field of science and engineering. It delivers a usable methodology for modeling in the absence of real-time feedback. The book includes a short introduction to fuzzy logic containing basic definitions of fuzzy set theory and fuzzy rule systems. It describes methods for the assessment of rule systems, systems with discrete response sets, for modeling time series, for exact physical systems, examines verification and redundancy issues, and investigates rule response functions. Definitions and propositions, some of which have not been published elsewhere, are provided; numerous examples as well as references to more elaborate case studies are also given. Fuzzy rule-based modeling has the potential to revolutionize fields such as hydrology because it can handle uncertainty in modeling problems too complex to be approached by a stochastic analysis. There is also excellent potential for handling large-scale systems such as regionalization or highly non-linear problems such as unsaturated groundwater pollution.


Fuzzy Rule-based Modeling with Applications to Geophysical, Biological, and Engineering Systems

Fuzzy Rule-based Modeling with Applications to Geophysical, Biological, and Engineering Systems
Author: András Bárdossy
Publisher:
Total Pages: 0
Release: 1995
Genre: TECHNOLOGY
ISBN: 9780138755133

Download Fuzzy Rule-based Modeling with Applications to Geophysical, Biological, and Engineering Systems Book in PDF, ePub and Kindle

This book presents in a systematic and comprehensive manner the modeling of uncertainty, vagueness, or imprecision, alias "fuzziness," in just about any field of science and engineering. It delivers a usable methodology for modeling in the absence of real-time feedback.The book includes a short introduction to fuzzy logic containing basic definitions of fuzzy set theory and fuzzy rule systems. It describes methods for the assessment of rule systems, systems with discrete response sets, for modeling time series, for exact physical systems, examines verification and redundancy issues, and investigates rule response functions.Definitions and propositions, some of which have not been published elsewhere, are provided; numerous examples as well as references to more elaborate case studies are also given. Fuzzy rule-based modeling has the potential to revolutionize fields such as hydrology because it can handle uncertainty in modeling problems too complex to be approached by a stochastic analysis. There is also excellent potential for handling large-scale systems such as regionalization or highly non-linear problems such as unsaturated groundwater pollution.


Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems

Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems
Author: Andras - Bardossy
Publisher: CRC Press
Total Pages: 245
Release: 2022-10-07
Genre: Technology & Engineering
ISBN: 0429610866

Download Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems Book in PDF, ePub and Kindle

This book presents in a systematic and comprehensive manner the modeling of uncertainty, vagueness, or imprecision, alias "fuzziness," in just about any field of science and engineering. It delivers a usable methodology for modeling in the absence of real-time feedback. The book includes a short introduction to fuzzy logic containing basic definitions of fuzzy set theory and fuzzy rule systems. It describes methods for the assessment of rule systems, systems with discrete response sets, for modeling time series, for exact physical systems, examines verification and redundancy issues, and investigates rule response functions. Definitions and propositions, some of which have not been published elsewhere, are provided; numerous examples as well as references to more elaborate case studies are also given. Fuzzy rule-based modeling has the potential to revolutionize fields such as hydrology because it can handle uncertainty in modeling problems too complex to be approached by a stochastic analysis. There is also excellent potential for handling large-scale systems such as regionalization or highly non-linear problems such as unsaturated groundwater pollution.


Model-Based Systems Engineering

Model-Based Systems Engineering
Author: A. Wayne Wymore
Publisher: CRC Press
Total Pages: 732
Release: 2018-05-04
Genre: Technology & Engineering
ISBN: 1351431080

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Model-Based Systems Engineering explains the fundamental theories behind model-based systems and the considerations involved in applying theory to the design of real systems. The book begins by presenting terms used in systems engineering and introducing the discrete system and its components. The remainder of the text explains topics such as the mathematical theory of system coupling, the homomorphic relationship between systems, the concept of system mode, the mathematical structure of T3SD system requirements, and the implications of that structure for T3SD system design. Appendices include a short bibliography, detailed definitions of all examples discussed in the text, a list of all notations used, and an index. Model-Based Systems Engineering is an excellent text for engineering students, and an invaluable reference for engineers and scientists.


Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications

Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications
Author: Marie-Jeanne Lesot
Publisher: Springer Nature
Total Pages: 305
Release: 2020-10-26
Genre: Technology & Engineering
ISBN: 3030543412

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This book gathers cutting-edge papers in the area of Computational Intelligence, presented by specialists, and covering all major trends in the research community in order to provide readers with a rich primer. It presents an overview of various soft computing topics and approximate reasoning-based approaches, both from theoretical and applied perspectives. Numerous topics are covered: fundamentals aspects of fuzzy sets theory, reasoning approaches (interpolative, analogical, similarity-based), decision and optimization theory, fuzzy databases, soft machine learning, summarization, interpretability and XAI. Moreover, several application-based papers are included, e.g. on image processing, semantic web and intelligent tutoring systems. This book is dedicated to Bernadette Bouchon-Meunier in honor of her achievements in Computational Intelligence, which, throughout her career, have included profuse and diverse collaborations, both thematically and geographically.


Hydrological Models for Environmental Management

Hydrological Models for Environmental Management
Author: Mikhail V. Bolgov
Publisher: Springer Science & Business Media
Total Pages: 284
Release: 2012-12-06
Genre: Science
ISBN: 9401004706

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This book contains a selection of papers from a NATO Advanced Research Workshop entitled "Stochastic models of hydrological processes and their applications to problems of environmental preservation" convened in Moscow over the period 23-27 November 1998. The Workshop was unique in providing the first opportunity for over a decade for countries of the Russian Federation to interact with other countries across the world to discuss hydrological science issues relevant to environmental management. The contrasting schools of thought within the Russian Federation and with other countries proved a fascinating and valuable experience for those fortunate enough to attend. The scientific content of the Workshop was motivated by a number of concerns. Water is a key natural resource whose modelling and management is made complex by its inherent spatial unevenness and time variability. Traditional methods for investigating hydrological processes in nature employ stochastic modelling and forecasting. However these are not well developed with regard to (i) representing the characteristics of hydrological regimes, and (ii) investigating the influence of water factors on processes which arise in biological systems and those involving hydrochemical, geophysical and other processes.


Intelligent Systems

Intelligent Systems
Author: Cornelius T. Leondes
Publisher: CRC Press
Total Pages: 2400
Release: 2018-10-08
Genre: Technology & Engineering
ISBN: 1420040812

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Intelligent systems, or artificial intelligence technologies, are playing an increasing role in areas ranging from medicine to the major manufacturing industries to financial markets. The consequences of flawed artificial intelligence systems are equally wide ranging and can be seen, for example, in the programmed trading-driven stock market crash of October 19, 1987. Intelligent Systems: Technology and Applications, Six Volume Set connects theory with proven practical applications to provide broad, multidisciplinary coverage in a single resource. In these volumes, international experts present case-study examples of successful practical techniques and solutions for diverse applications ranging from robotic systems to speech and signal processing, database management, and manufacturing.


Fuzzy Logic in Geology

Fuzzy Logic in Geology
Author: Robert V. Demicco
Publisher: Elsevier
Total Pages: 374
Release: 2003-10-20
Genre: Computers
ISBN: 0080521894

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What is fuzzy logic?--a system of concepts and methods for exploring modes of reasoning that are approximate rather than exact. While the engineering community has appreciated the advances in understanding using fuzzy logic for quite some time, fuzzy logic's impact in non-engineering disciplines is only now being recognized. The authors of Fuzzy Logic in Geology attend to this growing interest in the subject and introduce the use of fuzzy set theory in a style geoscientists can understand. This is followed by individual chapters on topics relevant to earth scientists: sediment modeling, fracture detection, reservoir characterization, clustering in geophysical data analysis, ground water movement, and time series analysis. George Klir is the Distinguished Professor of Systems Science and Director of the Center for Intelligent Systems, Fellow of the IEEE and IFSA, editor of nine volumes, editorial board member of 18 journals, and author or co-author of 16 booksForeword by the inventor of fuzzy logic-- Professor Lotfi Zadeh


Treatise on Water Science

Treatise on Water Science
Author:
Publisher: Newnes
Total Pages: 2131
Release: 2010-09-01
Genre: Technology & Engineering
ISBN: 0444531998

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Water quality and management are of great significance globally, as the demand for clean, potable water far exceeds the availability. Water science research brings together the natural and applied sciences, engineering, chemistry, law and policy, and economics, and the Treatise on Water Science seeks to unite these areas through contributions from a global team of author-experts. The 4-volume set examines topics in depth, with an emphasis on innovative research and technologies for those working in applied areas. Published in partnership with and endorsed by the International Water Association (IWA), demonstrating the authority of the content Editor-in-Chief Peter Wilderer, a Stockholm Water Prize recipient, has assembled a world-class team of volume editors and contributing authors Topics related to water resource management, water quality and supply, and handling of wastewater are treated in depth