Uncertainty Analysis In Engineering And Sciences Fuzzy Logic Statistics And Neural Network Approach

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Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach

Author : Bilal M. Ayyub
Publisher : Springer Science & Business Media
ISBN 13 : 146155473X
Total Pages : 376 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach by : Bilal M. Ayyub

Download or read book Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach written by Bilal M. Ayyub and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty has been of concern to engineers, managers and . scientists for many centuries. In management sciences there have existed definitions of uncertainty in a rather narrow sense since the beginning of this century. In engineering and uncertainty has for a long time been considered as in sciences, however, synonymous with random, stochastic, statistic, or probabilistic. Only since the early sixties views on uncertainty have ~ecome more heterogeneous and more tools to model uncertainty than statistics have been proposed by several scientists. The problem of modeling uncertainty adequately has become more important the more complex systems have become, the faster the scientific and engineering world develops, and the more important, but also more difficult, forecasting of future states of systems have become. The first question one should probably ask is whether uncertainty is a phenomenon, a feature of real world systems, a state of mind or a label for a situation in which a human being wants to make statements about phenomena, i. e. , reality, models, and theories, respectively. One cart also ask whether uncertainty is an objective fact or just a subjective impression which is closely related to individual persons. Whether uncertainty is an objective feature of physical real systems seems to be a philosophical question. This shall not be answered in this volume.

Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach

Author : Bilal Ayyub
Publisher : Springer
ISBN 13 : 9781461554745
Total Pages : 371 pages
Book Rating : 4.5/5 (547 download)

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Book Synopsis Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach by : Bilal Ayyub

Download or read book Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach written by Bilal Ayyub and published by Springer. This book was released on 2011-09-28 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty has been of concern to engineers, managers and . scientists for many centuries. In management sciences there have existed definitions of uncertainty in a rather narrow sense since the beginning of this century. In engineering and uncertainty has for a long time been considered as in sciences, however, synonymous with random, stochastic, statistic, or probabilistic. Only since the early sixties views on uncertainty have ~ecome more heterogeneous and more tools to model uncertainty than statistics have been proposed by several scientists. The problem of modeling uncertainty adequately has become more important the more complex systems have become, the faster the scientific and engineering world develops, and the more important, but also more difficult, forecasting of future states of systems have become. The first question one should probably ask is whether uncertainty is a phenomenon, a feature of real world systems, a state of mind or a label for a situation in which a human being wants to make statements about phenomena, i. e. , reality, models, and theories, respectively. One cart also ask whether uncertainty is an objective fact or just a subjective impression which is closely related to individual persons. Whether uncertainty is an objective feature of physical real systems seems to be a philosophical question. This shall not be answered in this volume.

Uncertainty Modeling and Analysis in Engineering and the Sciences

Author : Bilal M. Ayyub
Publisher : Chapman and Hall/CRC
ISBN 13 : 9781584886440
Total Pages : 400 pages
Book Rating : 4.8/5 (864 download)

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Book Synopsis Uncertainty Modeling and Analysis in Engineering and the Sciences by : Bilal M. Ayyub

Download or read book Uncertainty Modeling and Analysis in Engineering and the Sciences written by Bilal M. Ayyub and published by Chapman and Hall/CRC. This book was released on 2006-05-25 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineers and scientists often need to solve complex problems with incomplete information resources, necessitating a proper treatment of uncertainty and a reliance on expert opinions. Uncertainty Modeling and Analysis in Engineering and the Sciences prepares current and future analysts and practitioners to understand the fundamentals of knowledge and ignorance, how to model and analyze uncertainty, and how to select appropriate analytical tools for particular problems. This volume covers primary components of ignorance and their impact on practice and decision making. It provides an overview of the current state of uncertainty modeling and analysis, and reviews emerging theories while emphasizing practical applications in science and engineering. The book introduces fundamental concepts of classical, fuzzy, and rough sets, probability, Bayesian methods, interval analysis, fuzzy arithmetic, interval probabilities, evidence theory, open-world models, sequences, and possibility theory. The authors present these methods to meet the needs of practitioners in many fields, emphasizing the practical use, limitations, advantages, and disadvantages of the methods.

Solutions Manual for Uncertainty Modeling and Analysis in Engineering and the Sciences

Author : Bilal M. Ayyub
Publisher : Chapman & Hall
ISBN 13 : 9781584886563
Total Pages : 110 pages
Book Rating : 4.8/5 (865 download)

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Book Synopsis Solutions Manual for Uncertainty Modeling and Analysis in Engineering and the Sciences by : Bilal M. Ayyub

Download or read book Solutions Manual for Uncertainty Modeling and Analysis in Engineering and the Sciences written by Bilal M. Ayyub and published by Chapman & Hall. This book was released on 2006-01 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Research in Uncertainty Modeling and Analysis

Author : Bilal M. Ayyub
Publisher : Springer Science & Business Media
ISBN 13 : 0387235507
Total Pages : 545 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Applied Research in Uncertainty Modeling and Analysis by : Bilal M. Ayyub

Download or read book Applied Research in Uncertainty Modeling and Analysis written by Bilal M. Ayyub and published by Springer Science & Business Media. This book was released on 2007-12-29 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application areas of uncertainty are numerous and diverse, including all fields of engineering, computer science, systems control and finance. Determining appropriate ways and methods of dealing with uncertainty has been a constant challenge. The theme for this book is better understanding and the application of uncertainty theories. This book, with invited chapters, deals with the uncertainty phenomena in diverse fields. The book is an outgrowth of the Fourth International Symposium on Uncertainty Modeling and Analysis (ISUMA), which was held at the center of Adult Education, College Park, Maryland, in September 2003. All of the chapters have been carefully edited, following a review process in which the editorial committee scrutinized each chapter. The contents of the book are reported in twenty-three chapters, covering more than . . ... pages. This book is divided into six main sections. Part I (Chapters 1-4) presents the philosophical and theoretical foundation of uncertainty, new computational directions in neural networks, and some theoretical foundation of fuzzy systems. Part I1 (Chapters 5-8) reports on biomedical and chemical engineering applications. The sections looks at noise reduction techniques using hidden Markov models, evaluation of biomedical signals using neural networks, and changes in medical image detection using Markov Random Field and Mean Field theory. One of the chapters reports on optimization in chemical engineering processes.

Fifty Years of Fuzzy Logic and its Applications

Author : Dan E. Tamir
Publisher : Springer
ISBN 13 : 3319196839
Total Pages : 684 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Fifty Years of Fuzzy Logic and its Applications by : Dan E. Tamir

Download or read book Fifty Years of Fuzzy Logic and its Applications written by Dan E. Tamir and published by Springer. This book was released on 2015-05-23 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in Lotfi Zadeh’s seminal paper on “fuzzy sets,” published in 1965. In addition, it features a stimulating sampling from the broad field of research and development inspired by Zadeh’s paper. The chapters, written by pioneers and prominent scholars in the field, show how fuzzy sets have been successfully applied to artificial intelligence, control theory, inference, and reasoning. The book also reports on theoretical issues; features recent applications of Fuzzy Logic in the fields of neural networks, clustering, data mining and software testing; and highlights an important paradigm shift caused by Fuzzy Logic in the area of uncertainty management. Conceived by the editors as an academic celebration of the fifty years’ anniversary of the 1965 paper, this work is a must-have for students and researchers willing to get an inspiring picture of the potentialities, limitations, achievements and accomplishments of Fuzzy Logic-based systems.

Uncertainty Modeling and Analysis in Engineering and the Sciences

Author : Bilal M. Ayyub
Publisher : CRC Press
ISBN 13 : 1420011456
Total Pages : 401 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Uncertainty Modeling and Analysis in Engineering and the Sciences by : Bilal M. Ayyub

Download or read book Uncertainty Modeling and Analysis in Engineering and the Sciences written by Bilal M. Ayyub and published by CRC Press. This book was released on 2006-05-25 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineers and scientists often need to solve complex problems with incomplete information resources, necessitating a proper treatment of uncertainty and a reliance on expert opinions. Uncertainty Modeling and Analysis in Engineering and the Sciences prepares current and future analysts and practitioners to understand the fundamentals of knowledge a

Introduction to Neuro-Fuzzy Systems

Author : Robert Fuller
Publisher : Springer Science & Business Media
ISBN 13 : 3790818526
Total Pages : 300 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Introduction to Neuro-Fuzzy Systems by : Robert Fuller

Download or read book Introduction to Neuro-Fuzzy Systems written by Robert Fuller and published by Springer Science & Business Media. This book was released on 2013-06-05 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating data that was not precise, but rather fuzzy. Fuzzy logic pro vides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy logic provides a mathematical strength to capture the uncertainties associ ated with human cognitive processes, such as thinking and reasoning. The conventional approaches to knowledge representation lack the means for rep resentating the meaning of fuzzy concepts. As a consequence, the approaches based on first order logic and classical probablity theory do not provide an appropriate conceptual framework for dealing with the representation of com monsense knowledge, since such knowledge is by its nature both lexically imprecise and noncategorical. The developement of fuzzy logic was motivated in large measure by the need for a conceptual framework which can address the issue of uncertainty and lexical imprecision. Some of the essential characteristics of fuzzy logic relate to the following [242]. • In fuzzy logic, exact reasoning is viewed as a limiting case of ap proximate reasoning. • In fuzzy logic, everything is a matter of degree. • In fuzzy logic, knowledge is interpreted a collection of elastic or, equivalently, fuzzy constraint on a collection of variables. • Inference is viewed as a process of propagation of elastic con straints. • Any logical system can be fuzzified. There are two main characteristics of fuzzy systems that give them better performance für specific applications.

Fuzzy Logic and Mathematics

Author : Radim Belohlavek
Publisher : Oxford University Press
ISBN 13 : 019066570X
Total Pages : 544 pages
Book Rating : 4.1/5 (96 download)

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Book Synopsis Fuzzy Logic and Mathematics by : Radim Belohlavek

Download or read book Fuzzy Logic and Mathematics written by Radim Belohlavek and published by Oxford University Press. This book was released on 2017-05-03 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: The term "fuzzy logic," as it is understood in this book, stands for all aspects of representing and manipulating knowledge based on the rejection of the most fundamental principle of classical logic---the principle of bivalence. According to this principle, each declarative sentence is required to be either true or false. In fuzzy logic, these classical truth values are not abandoned. However, additional, intermediate truth values between true and false are allowed, which are interpreted as degrees of truth. This opens a new way of thinking---thinking in terms of degrees rather than absolutes. For example, it leads to the definition of a new kind of sets, referred to as fuzzy sets, in which membership is a matter of degree. The book examines the genesis and development of fuzzy logic. It surveys the prehistory of fuzzy logic and inspects circumstances that eventually lead to the emergence of fuzzy logic. The book explores in detail the development of propositional, predicate, and other calculi that admit degrees of truth, which are known as fuzzy logic in the narrow sense. Fuzzy logic in the broad sense, whose primary aim is to utilize degrees of truth for emulating common-sense human reasoning in natural language, is scrutinized as well. The book also examines principles for developing mathematics based on fuzzy logic and provides overviews of areas in which this has been done most effectively. It also presents a detailed survey of established and prospective applications of fuzzy logic in various areas of human affairs, and provides an assessment of the significance of fuzzy logic as a new paradigm.

Uncertainty Modeling in Knowledge Engineering and Decision Making

Author :
Publisher : World Scientific
ISBN 13 : 9814417742
Total Pages : 1373 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Uncertainty Modeling in Knowledge Engineering and Decision Making by :

Download or read book Uncertainty Modeling in Knowledge Engineering and Decision Making written by and published by World Scientific. This book was released on 2012 with total page 1373 pages. Available in PDF, EPUB and Kindle. Book excerpt: FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 10th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view. Sample Chapter(s). Foreword (55 KB). Evaluation of Manufacturing Technology of Photovoltaic Cells (124 KB). Contents: Decision Making and Decision Support Systems; Uncertainty Modeling; Foundations of Computational Intelligence; Statistics, Data Analysis and Data Mining; Intelligent Information Processing; Productivity and Reliability; Applied Research. Readership: Graduate students, researchers, and academics in artificial intelligence/machine learning, information management, decision sciences, databases/information sciences and fuzzy logic.

Fuzzy Logic, Soft Computing and Computational Intelligence

Author :
Publisher : 清华大学出版社有限公司
ISBN 13 : 9787302113775
Total Pages : 594 pages
Book Rating : 4.1/5 (137 download)

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Book Synopsis Fuzzy Logic, Soft Computing and Computational Intelligence by :

Download or read book Fuzzy Logic, Soft Computing and Computational Intelligence written by and published by 清华大学出版社有限公司. This book was released on 2005 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Research Methods: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1466674571
Total Pages : 2072 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Research Methods: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Research Methods: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2015-01-31 with total page 2072 pages. Available in PDF, EPUB and Kindle. Book excerpt: Across a variety of disciplines, data and statistics form the backbone of knowledge. To ensure the reliability and validity of data, appropriate measures must be taken in conducting studies and reporting findings. Research Methods: Concepts, Methodologies, Tools, and Applications compiles chapters on key considerations in the management, development, and distribution of data. With its focus on both fundamental concepts and advanced topics, this multi-volume reference work will be a valuable addition to researchers, scholars, and students of science, mathematics, and engineering.

Foundations of Fuzzy Logic and Soft Computing

Author : Patricia Melin
Publisher : Springer Science & Business Media
ISBN 13 : 354072950X
Total Pages : 832 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Foundations of Fuzzy Logic and Soft Computing by : Patricia Melin

Download or read book Foundations of Fuzzy Logic and Soft Computing written by Patricia Melin and published by Springer Science & Business Media. This book was released on 2007-07-02 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises a selection of papers from IFSA 2007 on new methods and theories that contribute to the foundations of fuzzy logic and soft computing. Coverage includes the application of fuzzy logic and soft computing in flexible querying, philosophical and human-scientific aspects of soft computing, search engine and information processing and retrieval, as well as intelligent agents and knowledge ant colony.

Intelligent Techniques and Soft Computing for Nuclear Science and Engineering

Author : Da Ruan
Publisher : World Scientific
ISBN 13 : 9789810243562
Total Pages : 560 pages
Book Rating : 4.2/5 (435 download)

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Book Synopsis Intelligent Techniques and Soft Computing for Nuclear Science and Engineering by : Da Ruan

Download or read book Intelligent Techniques and Soft Computing for Nuclear Science and Engineering written by Da Ruan and published by World Scientific. This book was released on 2000 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is divided into three parts. The first part, ?Mathematical Tools and New Developments?, provides basic tools to treat fuzzy set theory, rough set theory, fuzzy control, fuzzy modelling, decision support systems, and related applications. The second part, ?Intelligent Engineering Applications?, reports on engineering problems such as man-machine interface, risk analysis, image processing, robotics, knowledge-based engineering, expert systems, process control integration, diagnosis, measurements and interpretation by intelligent techniques and soft computing used for general engineering applications. The third part, ?Nuclear Engineering Applications?, concentrates on nuclear applications and covers several topics such as nuclear energy, nuclear safety assessment, radioactive waste management, nuclear measurements, nuclear safeguards, nuclear reactor operation, reactor controller design, fuel reload pattern design, signal validation, nuclear power plants, and optimizations in nuclear applications.

Fuzzy Logic And Intelligent Technologies For Nuclear Science And Industry - Proceedings Of The 3rd International Flins Workshop

Author : Da Ruan
Publisher : World Scientific
ISBN 13 : 981454468X
Total Pages : 498 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Fuzzy Logic And Intelligent Technologies For Nuclear Science And Industry - Proceedings Of The 3rd International Flins Workshop by : Da Ruan

Download or read book Fuzzy Logic And Intelligent Technologies For Nuclear Science And Industry - Proceedings Of The 3rd International Flins Workshop written by Da Ruan and published by World Scientific. This book was released on 1998-08-15 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following FLINS '94 and FLINS '96, the first and second International Workshops on Fuzzy Logic and Intelligent Technologies in Nuclear Science, FLINS '98 covers recent developments, both of a foundational and applicational character, in the fields of intelligent techniques such as fuzzy logic, neural networks, genetic algorithms, robotics, man-machine interface and decision-support systems within nuclear science and related research fields.This volume clearly shows the leading role of FLINS as a forum for the applications of new intelligent techniques in the nuclear domain.

Data Mining

Author : Yong Yin
Publisher : Springer Science & Business Media
ISBN 13 : 184996338X
Total Pages : 312 pages
Book Rating : 4.8/5 (499 download)

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Book Synopsis Data Mining by : Yong Yin

Download or read book Data Mining written by Yong Yin and published by Springer Science & Business Media. This book was released on 2011-03-16 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems. Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all managerial activities of a company, including: • supply chain design, • product development, • manufacturing system design, • product quality control, and • preservation of privacy. Incorporating recent developments of data mining that have made it possible to deal with management and engineering design problems with greater efficiency and efficacy, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners.

Risk Analysis in Engineering and Economics

Author : Bilal M. Ayyub
Publisher : CRC Press
ISBN 13 : 1135438994
Total Pages : 597 pages
Book Rating : 4.1/5 (354 download)

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Book Synopsis Risk Analysis in Engineering and Economics by : Bilal M. Ayyub

Download or read book Risk Analysis in Engineering and Economics written by Bilal M. Ayyub and published by CRC Press. This book was released on 2003-06-26 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than any other book available, Risk Analysis in Engineering and Economics introduces the fundamental concepts, techniques, and applications of the subject in a style tailored to meet the needs of students and practitioners of engineering, science, economics, and finance. Drawing on his extensive experience in uncertainty and risk modeling and analysis, the author leads readers from the fundamental concepts through the theory, applications, and data requirements, sources, and collection. He emphasizes the practical use of the methods presented and carefully examines the limitations, advantages, and disadvantages of each. Case studies that incorporate the techniques discussed offer a practical perspective that helps readers clearly identify and solve problems encountered in practice. If you deal with decision-making under conditions of uncertainty, this book is required reading. The presentation includes more than 300 tables and figures, more than 100 examples, many case studies, and a wealth of end-of-chapter problems. Unlike the classical books on reliability and risk assessment, this book helps you relate underlying concepts to everyday applications and better prepares you to understand and use the methods of risk analysis.