Bilal M. Ayyub – författare

Visar alla böcker från författaren Bilal M. Ayyub. Handla med fri frakt och snabb leverans.

34 produkter

Kategorier

34 produkter

Del 20 - International Series in Intelligent Technologies
Applied Research in Uncertainty Modeling and Analysis
AvBilal M. Ayyub
Inbunden, Engelska, 2004
1 679 kr
Skickas inom 10-15 vardagar
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.
Applied Research in Uncertainty Modeling and Analysis
AvBilal M. Ayyub
E-bok
PDF, Engelska, 2007
2 065 kr
Läs direkt efter köp
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.
Climate-Resilient Infrastructure
Adaptive Design and Risk Management
AvCommittee on Adaptation to a Changing Climate,Bilal M. Ayyub
Inbunden, Engelska, 2018
1 448 kr
Skickas inom 5-8 vardagar
Prepared by the Committee on Adaptation to a Changing Climate of ASCE.Civil infrastructure systems traditionally have been designed for appropriate functionality, durability, and safety for climate and weather extremes during their full-service lives; however, climate scientists inform us that the extremes of climate and weather have altered from historical values in ways difficult to predict or project. Climate-Resilient Infrastructure: Adaptive Design and Risk Management, MOP 140, provides guidance for and contributes to the developing or enhancing of methods for infrastructure analysis and design in a world in which risk profiles are changing and can be projected with varying degrees of uncertainty requiring a new design philosophy to meet this challenge.The underlying approaches in this manual of practice (MOP) are based on probabilistic methods for quantitative risk analysis, and the design framework provided focuses on identifying and analyzing low-regret, adaptive strategies to make a project more resilient.Beginning with an overview of the driving forces and hazards associated with a changing climate, subsequent chapters in MOP 140 provide observational methods, illustrative examples, and case studies; estimation of extreme events particularly related to precipitation with guidance on monitoring and measuring methods; flood design criteria and the development of project design flood elevations; computational methods of determining flood loads; adaptive design and adaptive risk management in the context of life-cycle engineering and economics; and climate resilience technologies.MOP 140 will be of interest to engineers, researchers, planners, and other stakeholders charged with adaptive design decisions to achieve infrastructure resilience targets while minimizing life-cycle costs in a changing climate.
Del 11 - International Series in Intelligent Technologies
Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
AvBilal M. Ayyub,Madan M. Gupta
Inbunden, Engelska, 1997
2 304 kr
Skickas inom 10-15 vardagar
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.
Elicitation of Expert Opinions for Uncertainty and Risks
AvBilal M. Ayyub
Inbunden, Engelska, 2001
2 679 kr
Skickas inom 10-15 vardagar
Experts, despite their importance and value, can be double-edged swords. They can make valuable contributions from their deep base of knowledge, but those contributions may also contain their own biases and pet theories. Therefore, selecting experts, eliciting their opinions, and aggregating their opinions must be performed and handled carefully, with full recognition of the uncertainties inherent in those opinions.Elicitation of Expert Opinions for Uncertainty and Risks illuminates those uncertainties and builds a foundation of philosophy, background, methods, and guidelines that helps its readers effectively execute the elicitation process. Based on the first-hand experiences of the author, the book is filled with illustrations, examples, case studies, and applications that demonstrate not only the methods and successes of expert opinion elicitation, but also its pitfalls and failures.Studies show that in the future, analysts, engineers, and scientists will need to solve ever more complex problems and reach decisions with limited resources. This will lead to an increased reliance on the proper treatment of uncertainty and on the use of expert opinions. Elicitation of Expert Opinions for Uncertainty and Risks will help prepare you to better understand knowledge and ignorance, to successfully elicit expert opinions, to select appropriate expressions of those opinions, and to use various methods to model and aggregate opinions.
Risk Analysis in Engineering and Economics
AvBilal M. Ayyub
Häftad, Engelska, 2024
915 kr
Skickas inom 10-15 vardagar
Risk Analysis in Engineering and Economics is required reading for decision making under conditions of uncertainty. The author describes 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 covers everything from basic theory and key computational algorithms to data needs, sources, and collection. He emphasizes practical use of the methods presented and carefully examines the limitations, advantages, and disadvantages of each to help readers translate the discussed techniques into real-world solutions.This Second Edition:Introduces the topic of risk financeIncorporates homeland security applications throughoutOffers additional material on predictive risk managementIncludes a wealth of new and updated end-of-chapter problemsDelivers a complementary mix of theoretical background and risk methodsBrings together engineering and economics on balanced terms to enable appropriate decision makingPresents performance segregation and aggregation within a risk frameworkContains contemporary case studies, such as protecting hurricane-prone regions and critical infrastructureProvides 320+ tables and figures, over 110 diverse examples, numerous end-of-book references, and a bibliographyUnlike the classical books on reliability and risk management, Risk Analysis in Engineering and Economics, Second Edition relates underlying concepts to everyday applications, ensuring solid understanding and use of the methods of risk analysis.
Climate-Resilient Structures and Infrastructures
AvCao Wang,Bilal M. Ayyubm. fl.
Inbunden, Engelska, 2026
1 506 kr
Skickas inom 10-15 vardagar
The safety and serviceability of in-service structures and infrastructure systems are often threatened by natural hazards. Owners and decision-makers are especially concerned about the resilience of an asset (structure or infrastructure), namely its ability to be in readiness for, absorb, recover from, and adapt to disruptive events. Climate change is increasingly producing nonstationary natural hazards such as wind hazards, and concurrent multiple hazards may result in especially severe performance reduction.This book focuses on hazard modeling and resilience methods and their application in engineering cases. It presents the state of the art of the theory, methodology, and applications related to infrastructure resilience and offers practical approaches to enhancing resilience for engineers, policymakers, and researchers.
Probability, Statistics, and Reliability for Engineers and Scientists
AvBilal M. Ayyub,Richard H. McCuen
Inbunden, Engelska, 2025
1 737 kr
Skickas inom 10-15 vardagar
Virtually every engineer and scientist must be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential.The goal of this popular and proven book is to introduce the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purpose of data and uncertainty analysis and modeling in support of decision-making.The primary objectives to the author’s approach include: (1) introducing probability, statistics, reliability, and risk methods to students and practicing professionals in engineering and the sciences; (2) emphasizing the practical use of these methods; and (3) establishing the limitations, advantages, and disadvantages of the methods. The book was developed with an emphasis on solving real-world technological problems that engineers and scientists are asked to solve as part of their professional responsibilities.Upon graduation, engineers and scientists must have a solid academic foundation in methods of data analysis and synthesis, as the analysis and synthesis of complex systems are common tasks that confront even entry-level professionals.The underlying theory, especially the assumptions central to the methods, is presented, but then the proper application of the theory is presented through realistic examples, often using actual data. Every attempt is made to show that methods of data analysis are not independent of each other. Instead, we show that real-world problem-solving often involves applying many of the methods presented in different chapters.Probability, Statistics, and Reliability for Engineers and Scientists, here in its fourth edition, is a very popular textbook. Ultimately, readers will find its content of great value in problem-solving and decision-making, particularly in practical applications.
Numerical Analysis for Engineers
Methods and Applications
AvBilal M. Ayyub,Richard H. McCuen
Inbunden, Engelska, 2026
1 506 kr
Skickas inom 10-15 vardagar
This widely used textbook demonstrates the power of numerical methods in the context of solving complex engineering and scientific problems. Numerical Analysis for Engineers: Methods and Applications, Third Edition helps to prepare future engineers and assists practicing engineers in understanding the fundamentals of numerical methods, especially their applications, limitations, and potentials.Each chapter contains many computational examples, as well as a section on applications that contain additional engineering examples. Each chapter also includes a set of exercise problems.The problems are designed to meet the needs of instructors in assigning homework and to help students with practicing the fundamental concepts. Although the book was developed with emphasis on engineering and technological problems, the numerical methods can also be used to solve problems in other fields of science.The text is most appropriate for a first course in numerical methods, so students would only need basic calculus and matrix algebra.The book offers three general parts: (1) introduction to numerical methods, (2) the process and application of numerical methods, and (3) optimization of engineering data. In all chapters, a proper balance between theory and the application of the numerical methods is provided.Outstanding Features:Presents a balanced mix of theory and engineering conceptsEmphasizes theoretical background and engineering applicationsIntroduces fundamental concepts in a self-contained mannerProvides numerous examples and applications to illustrate key computational algorithmsProvides end-of-chapter exercise problemsA Solutions Manual is available for instructors.
Risk Analysis in Engineering and Economics
AvBilal M. Ayyub
E-bok
Engelska, 2014
1 067 kr
Läs direkt efter köp
Risk Analysis in Engineering and Economics is required reading for decision making under conditions of uncertainty. The author describes 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 e
Elicitation of Expert Opinions for Uncertainty and Risks
AvBilal M. Ayyub
E-bok
Engelska, 2001
2 998 kr
Läs direkt efter köp
Experts, despite their importance and value, can be double-edged swords. They can make valuable contributions from their deep base of knowledge, but those contributions may also contain their own biases and pet theories. Therefore, selecting experts, eliciting their opinions, and aggregating their opinions must be performed and handled carefully, w
Uncertainty Modeling and Analysis in Engineering and the Sciences
AvGeorge J. Klir,Bilal M. Ayyub
E-bok
Engelska, 2006
1 030 kr
Läs direkt efter köp
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
Probability, Statistics, and Reliability for Engineers and Scientists
AvRichard H. McCuen,Bilal M. Ayyub
E-bok
PDF, Engelska, 2025
2 033 kr
Läs direkt efter köp
Virtually every engineer and scientist must be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential.
The goal of this popular and proven book is to introduce the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purpose of data and uncertainty analysis and modeling in support of decision-making.
The primary objectives to the author’s approach include: (1) introducing probability, statistics, reliability, and risk methods to students and practicing professionals in engineering and the sciences; (2) emphasizing the practical use of these methods; and (3) establishing the limitations, advantages, and disadvantages of the methods. The book was developed with an emphasis on solving real-world technological problems that engineers and scientists are asked to solve as part of their professional responsibilities.
Upon graduation, engineers and scientists must have a solid academic foundation in methods of data analysis and synthesis, as the analysis and synthesis of complex systems are common tasks that confront even entry-level professionals.
The underlying theory, especially the assumptions central to the methods, is presented, but then the proper application of the theory is presented through realistic examples, often using actual data. Every attempt is made to show that methods of data analysis are not independent of each other. Instead, we show that real-world problem-solving often involves applying many of the methods presented in different chapters.
Probability, Statistics, and Reliability for Engineers and Scientists, here in its fourth edition, is a very popular textbook. Ultimately, readers will find its content of great value in problem-solving and decision-making, particularly in practical applications.
Probability, Statistics, and Reliability for Engineers and Scientists
AvRichard H. McCuen,Bilal M. Ayyub
E-bok
Engelska, 2025
2 033 kr
Läs direkt efter köp
Virtually every engineer and scientist must be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential.
The goal of this popular and proven book is to introduce the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purpose of data and uncertainty analysis and modeling in support of decision-making.
The primary objectives to the author’s approach include: (1) introducing probability, statistics, reliability, and risk methods to students and practicing professionals in engineering and the sciences; (2) emphasizing the practical use of these methods; and (3) establishing the limitations, advantages, and disadvantages of the methods. The book was developed with an emphasis on solving real-world technological problems that engineers and scientists are asked to solve as part of their professional responsibilities.
Upon graduation, engineers and scientists must have a solid academic foundation in methods of data analysis and synthesis, as the analysis and synthesis of complex systems are common tasks that confront even entry-level professionals.
The underlying theory, especially the assumptions central to the methods, is presented, but then the proper application of the theory is presented through realistic examples, often using actual data. Every attempt is made to show that methods of data analysis are not independent of each other. Instead, we show that real-world problem-solving often involves applying many of the methods presented in different chapters.
Probability, Statistics, and Reliability for Engineers and Scientists, here in its fourth edition, is a very popular textbook. Ultimately, readers will find its content of great value in problem-solving and decision-making, particularly in practical applications.
Numerical Analysis for Engineers
Methods and Applications
AvBilal M. Ayyub,Richard H. McCuen
E-bok
PDF, Engelska, 2026
1 693 kr
Läs direkt efter köp
This widely used textbook demonstrates the power of numerical methods in the context of solving complex engineering and scientific problems. Numerical Analysis for Engineers: Methods and Applications, Third Edition helps to prepare future engineers and assists practicing engineers in understanding the fundamentals of numerical methods, especially their applications, limitations, and potentials.Each chapter contains many computational examples, as well as a section on applications that contain additional engineering examples. Each chapter also includes a set of exercise problems.The problems are designed to meet the needs of instructors in assigning homework and to help students with practicing the fundamental concepts. Although the book was developed with emphasis on engineering and technological problems, the numerical methods can also be used to solve problems in other fields of science.The text is most appropriate for a first course in numerical methods, so students would only need basic calculus and matrix algebra.The book offers three general parts: (1) introduction to numerical methods, (2) the process and application of numerical methods, and (3) optimization of engineering data. In all chapters, a proper balance between theory and the application of the numerical methods is provided.Outstanding Features:Presents a balanced mix of theory and engineering conceptsEmphasizes theoretical background and engineering applicationsIntroduces fundamental concepts in a self-contained mannerProvides numerous examples and applications to illustrate key computational algorithmsProvides end-of-chapter exercise problemsA Solutions Manual is available for instructors.
Numerical Analysis for Engineers
Methods and Applications
AvBilal M. Ayyub,Richard H. McCuen
E-bok
Engelska, 2026
1 711 kr
Läs direkt efter köp
This widely used textbook demonstrates the power of numerical methods in the context of solving complex engineering and scientific problems. Numerical Analysis for Engineers: Methods and Applications, Third Edition helps to prepare future engineers and assists practicing engineers in understanding the fundamentals of numerical methods, especially their applications, limitations, and potentials.Each chapter contains many computational examples, as well as a section on applications that contain additional engineering examples. Each chapter also includes a set of exercise problems.The problems are designed to meet the needs of instructors in assigning homework and to help students with practicing the fundamental concepts. Although the book was developed with emphasis on engineering and technological problems, the numerical methods can also be used to solve problems in other fields of science.The text is most appropriate for a first course in numerical methods, so students would only need basic calculus and matrix algebra.The book offers three general parts: (1) introduction to numerical methods, (2) the process and application of numerical methods, and (3) optimization of engineering data. In all chapters, a proper balance between theory and the application of the numerical methods is provided.Outstanding Features:Presents a balanced mix of theory and engineering conceptsEmphasizes theoretical background and engineering applicationsIntroduces fundamental concepts in a self-contained mannerProvides numerous examples and applications to illustrate key computational algorithmsProvides end-of-chapter exercise problemsA Solutions Manual is available for instructors.
Risk Analysis in Engineering and Economics
AvBilal M. Ayyub
E-bok
PDF, Engelska, 2026
1 000 kr
Kommande
Risk Analysis in Engineering and Economics is required reading for decision-making under conditions of uncertainty. Drawing on his extensive experience in uncertainty, risk modeling, and analysis, the author covers everything from basic theory and key computational algorithms to data needs, sources, and collection. He emphasizes real-world solutions and the practical use of the methods while carefully examining the advantages and limitations of each to help readers translate the discussed techniques into practice.The third edition continues and advances the successful approach of this text. It offers: 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 Introduces the fundamentals to facilitate quantification and rational decision-making Enhances the coverage of economic valuation, risk tolerance, and attitude Emphasizes the practical use of these methods through real-world case studies Establishes the limitations, advantages, and disadvantages of various methods Targets analysts, researchers, and/or anyone who deals with risk analysis to solve problems The book is designed to emphasize the applications of the concepts presented. The fundamental concepts are properly balanced in eight well-organized chapters.The outstanding features of the third edition include: More material on risk management and finance, including enhancements of the coverage of economic valuation, risk tolerance, and risk attitudes in decision-making A renewed emphasis on practical problem solving More diversity in examples from engineering, the sciences, insurance, and so forth Maintains illustrative, complex examples with explicitly presented computations to enable students to reproduce the computations Enhanced exercises to increase the difficulty of some of them Other books by the author include Numerical Analysis for Engineers, third edition, with Richard H. McCuen, (c) 2026, and Probability, Statistics, and Reliability for Engineers and Scientists, fourth edition, with Richard H. McCuen, (c) 2025, both published by CRC Press.
Climate-Resilient Structures and Infrastructures
AvMichael Beer,Bilal M. Ayyubm. fl.
E-bok
PDF, Engelska, 2026
1 711 kr
Läs direkt efter köp
The safety and serviceability of in-service structures and infrastructure systems are often threatened by natural hazards. Owners and decision-makers are especially concerned about the resilience of an asset (structure or infrastructure), namely its ability to be in readiness for, absorb, recover from, and adapt to disruptive events. Climate change is increasingly producing nonstationary natural hazards such as wind hazards, and concurrent multiple hazards may result in especially severe performance reduction.This book focuses on hazard modeling and resilience methods and their application in engineering cases. It presents the state of the art of the theory, methodology, and applications related to infrastructure resilience and offers practical approaches to enhancing resilience for engineers, policymakers, and researchers.
Risk Analysis in Engineering and Economics
AvBilal M. Ayyub
E-bok
Engelska, 2026
1 000 kr
Kommande
Risk Analysis in Engineering and Economics is required reading for decision-making under conditions of uncertainty. Drawing on his extensive experience in uncertainty, risk modeling, and analysis, the author covers everything from basic theory and key computational algorithms to data needs, sources, and collection. He emphasizes real-world solutions and the practical use of the methods while carefully examining the advantages and limitations of each to help readers translate the discussed techniques into practice.The third edition continues and advances the successful approach of this text. It offers: 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 Introduces the fundamentals to facilitate quantification and rational decision-making Enhances the coverage of economic valuation, risk tolerance, and attitude Emphasizes the practical use of these methods through real-world case studies Establishes the limitations, advantages, and disadvantages of various methods Targets analysts, researchers, and/or anyone who deals with risk analysis to solve problems The book is designed to emphasize the applications of the concepts presented. The fundamental concepts are properly balanced in eight well-organized chapters.The outstanding features of the third edition include: More material on risk management and finance, including enhancements of the coverage of economic valuation, risk tolerance, and risk attitudes in decision-making A renewed emphasis on practical problem solving More diversity in examples from engineering, the sciences, insurance, and so forth Maintains illustrative, complex examples with explicitly presented computations to enable students to reproduce the computations Enhanced exercises to increase the difficulty of some of them Other books by the author include Numerical Analysis for Engineers, third edition, with Richard H. McCuen, (c) 2026, and Probability, Statistics, and Reliability for Engineers and Scientists, fourth edition, with Richard H. McCuen, (c) 2025, both published by CRC Press.
Climate-Resilient Structures and Infrastructures
AvMichael Beer,Bilal M. Ayyubm. fl.
E-bok
Engelska, 2026
1 711 kr
Läs direkt efter köp
The safety and serviceability of in-service structures and infrastructure systems are often threatened by natural hazards. Owners and decision-makers are especially concerned about the resilience of an asset (structure or infrastructure), namely its ability to be in readiness for, absorb, recover from, and adapt to disruptive events. Climate change is increasingly producing nonstationary natural hazards such as wind hazards, and concurrent multiple hazards may result in especially severe performance reduction.This book focuses on hazard modeling and resilience methods and their application in engineering cases. It presents the state of the art of the theory, methodology, and applications related to infrastructure resilience and offers practical approaches to enhancing resilience for engineers, policymakers, and researchers.
Nyhet
Risk Analysis in Engineering and Economics
AvBilal M. Ayyub
Inbunden, Engelska, 2026
1 506 kr
Skickas inom 10-15 vardagar
Risk Analysis in Engineering and Economics is required reading for decision-making under conditions of uncertainty. Drawing on his extensive experience in uncertainty, risk modeling, and analysis, the author covers everything from basic theory and key computational algorithms to data needs, sources, and collection. He emphasizes real-world solutions and the practical use of the methods while carefully examining the advantages and limitations of each to help readers translate the discussed techniques into practice. The third edition continues and advances the successful approach of this text. It offers: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 financeIntroduces the fundamentals to facilitate quantification and rational decision-makingEnhances the coverage of economic valuation, risk tolerance, and attitudeEmphasizes the practical use of these methods through real-world case studiesEstablishes the limitations, advantages, and disadvantages of various methodsTargets analysts, researchers, and/or anyone who deals with risk analysis to solve problemsThe book is designed to emphasize the applications of the concepts presented. The fundamental concepts are properly balanced in eight well-organized chapters. The outstanding features of the third edition include:More material on risk management and finance, including enhancements of the coverage of economic valuation, risk tolerance, and risk attitudes in decision-makingA renewed emphasis on practical problem solvingMore diversity in examples from engineering, the sciences, insurance, and so forthMaintains illustrative, complex examples with explicitly presented computations to enable students to reproduce the computationsEnhanced exercises to increase the difficulty of some of themOther books by the author include Numerical Analysis for Engineers, third edition, with Richard H. McCuen, © 2026, and Probability, Statistics, and Reliability for Engineers and Scientists, fourth edition, with Richard H. McCuen, © 2025, both published by CRC Press.
Uncertainty Modeling and Analysis in Engineering and the Sciences
AvGeorge J. Klir,Bilal M. Ayyub
E-bok
PDF, Engelska, 2006
1 022 kr
Läs direkt efter köp
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
Elicitation of Expert Opinions for Uncertainty and Risks
AvBilal M. Ayyub
E-bok
PDF, Engelska, 2001
2 998 kr
Läs direkt efter köp
Experts, despite their importance and value, can be double-edged swords. They can make valuable contributions from their deep base of knowledge, but those contributions may also contain their own biases and pet theories. Therefore, selecting experts, eliciting their opinions, and aggregating their opinions must be performed and handled carefully, w
Del 20 - International Series in Intelligent Technologies
Applied Research in Uncertainty Modeling and Analysis
AvBilal M. Ayyub
Häftad, Engelska, 2010
1 679 kr
Skickas inom 10-15 vardagar
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.
Del 11 - International Series in Intelligent Technologies
Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach
AvBilal M. Ayyub,Madan M. Gupta
Häftad, Engelska, 2012
2 237 kr
Skickas inom 10-15 vardagar
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
AvMadan M. Gupta,Bilal M. Ayyub
E-bok
PDF, Engelska, 2012
2 833 kr
Läs direkt efter köp
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.
Risk Analysis in Engineering and Economics
AvBilal M. Ayyub
Inbunden, Engelska, 2014
2 112 kr
Skickas inom 10-15 vardagar
Risk Analysis in Engineering and Economics is required reading for decision making under conditions of uncertainty. The author describes 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 covers everything from basic theory and key computational algorithms to data needs, sources, and collection. He emphasizes practical use of the methods presented and carefully examines the limitations, advantages, and disadvantages of each to help readers translate the discussed techniques into real-world solutions.This Second Edition: Introduces the topic of risk financeIncorporates homeland security applications throughoutOffers additional material on predictive risk managementIncludes a wealth of new and updated end-of-chapter problemsDelivers a complementary mix of theoretical background and risk methodsBrings together engineering and economics on balanced terms to enable appropriate decision makingPresents performance segregation and aggregation within a risk frameworkContains contemporary case studies, such as protecting hurricane-prone regions and critical infrastructureProvides 320+ tables and figures, over 110 diverse examples, numerous end-of-book references, and a bibliographyUnlike the classical books on reliability and risk management, Risk Analysis in Engineering and Economics, Second Edition relates underlying concepts to everyday applications, ensuring solid understanding and use of the methods of risk analysis.
Risk Analysis in Engineering and Economics
AvBilal M. Ayyub
E-bok
PDF, Engelska, 2014
1 056 kr
Läs direkt efter köp
Risk Analysis in Engineering and Economics is required reading for decision making under conditions of uncertainty. The author describes 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 e
Thoughts and Conversations of Buildings and Other Structures
AvBilal M. Ayyub
Häftad, Engelska
219 kr
Skickas inom 3-6 vardagar
Uncertainty Modeling and Analysis in Engineering and the Sciences
AvBilal M. Ayyub,George J. Klir
Inbunden, Engelska, 2006
2 561 kr
Skickas inom 10-15 vardagar
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.

Bilal M. Ayyub – författare

Applied Research in Uncertainty Modeling and Analysis

Applied Research in Uncertainty Modeling and Analysis

Climate-Resilient Infrastructure

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

Elicitation of Expert Opinions for Uncertainty and Risks

Risk Analysis in Engineering and Economics

Climate-Resilient Structures and Infrastructures

Probability, Statistics, and Reliability for Engineers and Scientists

Numerical Analysis for Engineers

Risk Analysis in Engineering and Economics

Elicitation of Expert Opinions for Uncertainty and Risks

Uncertainty Modeling and Analysis in Engineering and the Sciences

Probability, Statistics, and Reliability for Engineers and Scientists

Probability, Statistics, and Reliability for Engineers and Scientists

Numerical Analysis for Engineers

Numerical Analysis for Engineers

Risk Analysis in Engineering and Economics

Climate-Resilient Structures and Infrastructures

Risk Analysis in Engineering and Economics

Climate-Resilient Structures and Infrastructures

Risk Analysis in Engineering and Economics

Uncertainty Modeling and Analysis in Engineering and the Sciences

Elicitation of Expert Opinions for Uncertainty and Risks

Applied Research in Uncertainty Modeling and Analysis

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

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

Risk Analysis in Engineering and Economics

Risk Analysis in Engineering and Economics

Thoughts and Conversations of Buildings and Other Structures

Uncertainty Modeling and Analysis in Engineering and the Sciences