Fuzzy Rule Based Modeling With Applications To Geophysical Biological And Engineering Systems
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Fuzzy Rule Based Modeling With Applications To Geophysical Biological And Engineering Systems
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Author : Andras - Bardossy
language : en
Publisher: CRC Press
Release Date : 2022-10-07
Fuzzy Rule Based Modeling With Applications To Geophysical Biological And Engineering Systems written by Andras - Bardossy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-07 with Technology & Engineering categories.
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
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Author : Andras Bardossy
language : en
Publisher: CRC Press
Release Date : 2022-10-07
Fuzzy Rule Based Modeling With Applications To Geophysical Biological And Engineering Systems written by Andras Bardossy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-07 with Technology & Engineering categories.
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
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Author : András Bárdossy
language : en
Publisher:
Release Date : 1995
Fuzzy Rule Based Modeling With Applications To Geophysical Biological And Engineering Systems written by András Bárdossy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with TECHNOLOGY categories.
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.
Uncertainty Modeling For Data Mining
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Author : Zengchang Qin
language : en
Publisher: Springer
Release Date : 2014-10-30
Uncertainty Modeling For Data Mining written by Zengchang Qin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-30 with Computers categories.
Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Several new data mining algorithms based on label semantics are proposed and tested on real-world datasets. A prototype interpretation of label semantics and new prototype-based data mining algorithms are also discussed. This book offers a valuable resource for postgraduates, researchers and other professionals in the fields of data mining, fuzzy computing and uncertainty reasoning. Zengchang Qin is an associate professor at the School of Automation Science and Electrical Engineering, Beihang University, China; Yongchuan Tang is an associate professor at the College of Computer Science, Zhejiang University, China.
Practical Applications Of Fuzzy Technologies
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Author : Hans-Jürgen Zimmermann
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Practical Applications Of Fuzzy Technologies written by Hans-Jürgen Zimmermann and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
Since the late 1980s, a large number of very user-friendly tools for fuzzy control, fuzzy expert systems, and fuzzy data analysis have emerged. This has changed the character of this area and started the area of `fuzzy technology'. The next large step in the development occurred in 1992 when almost independently in Europe, Japan and the USA, the three areas of fuzzy technology, artificial neural nets and genetic algorithms joined forces under the title of `computational intelligence' or `soft computing'. The synergies which were possible between these three areas have been exploited very successfully. Practical Applications of Fuzzy Sets focuses on model and real applications of fuzzy sets, and is structured into four major parts: engineering and natural sciences; medicine; management; and behavioral, cognitive and social sciences. This book will be useful for practitioners of fuzzy technology, scientists and students who are looking for applications of their models and methods, for topics of their theses, and even for venture capitalists who look for attractive possibilities for investments.
Ecological Informatics
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Author : Friedrich Recknagel
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Ecological Informatics written by Friedrich Recknagel and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Science categories.
Ecological Informatics is defined as the design and application of computational techniques for ecological analysis, synthesis, forecasting and management. The book provides an introduction to the scope, concepts and techniques of this newly emerging discipline. It illustrates numerous applications of Ecological Informatics for stream systems, river systems, freshwater lakes and marine systems as well as image recognition at micro and macro scale. Case studies focus on applications of artificial neural networks, genetic algorithms, fuzzy logic and adaptive agents to current ecological management issues such as toxic algal blooms, eutrophication, habitat degradation, conservation of biodiversity and sustainable fishery
Uncertainty Modeling And Analysis In Civil Engineering
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Author : Bilal M. Ayyub
language : en
Publisher: CRC Press
Release Date : 1997-12-29
Uncertainty Modeling And Analysis In Civil Engineering written by Bilal M. Ayyub and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-12-29 with Technology & Engineering categories.
With the expansion of new technologies, materials, and the design of complex systems, the expectations of society upon engineers are becoming larger than ever. Engineers make critical decisions with potentially high adverse consequences. The current political, societal, and financial climate requires engineers to formally consider the factors of uncertainty (e.g., floods, earthquakes, winds, environmental risks) in their decisions at all levels. Uncertainty Modeling and Analysis in Civil Engineering provides a thorough report on the immediate state of uncertainty modeling and analytical methods for civil engineering systems, presenting a toolbox for solving problems in real-world situations. Topics include Neural networks Genetic algorithms Numerical modeling Fuzzy sets and operations Reliability and risk analysis Systems control Uncertainty in probability estimates This compendium is a considerable reference for civil engineers as well as for engineers in other disciplines, computer scientists, general scientists, and students.
Proceedings Of The Eighth International Scientific Conference Intelligent Information Technologies For Industry Iiti 24 Volume 1
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Author : Sergey Kovalev
language : en
Publisher: Springer Nature
Release Date : 2024-12-19
Proceedings Of The Eighth International Scientific Conference Intelligent Information Technologies For Industry Iiti 24 Volume 1 written by Sergey Kovalev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Computers categories.
This book contains the works connected with the key advances in Intelligent Information Technologies for Industry presented at IITI 2024, the Eighth International Scientific Conference on Intelligent Information Technologies for Industry held on November 1–7, 2024, in Harbin, China. The works were written by the experts in the field of applied artificial intelligence including topics such as Machine Learning, Explainable AI, Decision-Making, Fuzzy Logic, Multi-Agent and Bioinspired Systems including their modern applications. The following industrial implementations were touched: railway automation, cyber security, intelligent medical systems, navigation systems. The editors believe that this book will be helpful for all scientists and engineers interested in the modern state of applied artificial intelligence.
Systems Engineering And Architecting
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Author : Laurence Bellagamba
language : en
Publisher: CRC Press
Release Date : 2012-03-26
Systems Engineering And Architecting written by Laurence Bellagamba and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-26 with Technology & Engineering categories.
Systems Engineering and Architecting: Creating Formal Requirements presents formal requirements to help you accomplish key systems engineering and architecting activities more efficiently. The formal requirements-explicit, executable, verifiable instructions-explain how to model systems behavior, make decisions, establish natural language requirements, and improve your systems engineering and architecting processes. Each chapter opens with case studies and lessons learned, which supply the real-world context for the formal requirements. Topics covered include how to use fuzzy logic and agents to model uncertainty and how to make decisions when confronted with ambiguity. The book also clarifies the differences between architecting and systems engineering. Mathematical Tools for Systems Engineering and Architecting Written in Mathematica (R), each formal requirement provides a tool or serves as the algorithm for a more efficient implementation in another form. All of the requirements are available as an open source library for anyone to use, improve upon, or add to. Worked examples, illustrations, and example surveys help you apply the requirements to your own systems. The book also lists heuristics to guide you in those systems engineering or architecting activities that cannot yet be formally stipulated. Bring More Consistency to Your Systems Development and Management Acknowledging that much of the practice remains an art, this book brings as much scientific rigor as possible to the tasks performed by systems engineers and architects. Written by a director of engineering who led systems engineering or architecting efforts for the Space Shuttle Program, Space Control Architecture Development, and others, this book shows you how to develop more consistent processes for large-scale systems.
Explainable Fuzzy Systems
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Author : Jose Maria Alonso Moral
language : en
Publisher: Springer Nature
Release Date : 2021-04-07
Explainable Fuzzy Systems written by Jose Maria Alonso Moral and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-07 with Technology & Engineering categories.
The importance of Trustworthy and Explainable Artificial Intelligence (XAI) is recognized in academia, industry and society. This book introduces tools for dealing with imprecision and uncertainty in XAI applications where explanations are demanded, mainly in natural language. Design of Explainable Fuzzy Systems (EXFS) is rooted in Interpretable Fuzzy Systems, which are thoroughly covered in the book. The idea of interpretability in fuzzy systems, which is grounded on mathematical constraints and assessment functions, is firstly introduced. Then, design methodologies are described. Finally, the book shows with practical examples how to design EXFS from interpretable fuzzy systems and natural language generation. This approach is supported by open source software. The book is intended for researchers, students and practitioners who wish to explore EXFS from theoretical and practical viewpoints. The breadth of coverage will inspire novel applications and scientific advancements.