Uncertainty Theory

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Uncertainty Theory

Baoding Liu

Author : Baoding Liu
Publisher : Springer
Page : 255 pages
File Size : 50,6 Mb
Release : 2007-09-14
Category : Technology & Engineering
ISBN : 9783540731658

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Uncertainty Theory by Baoding Liu Pdf

This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The purpose is to equip the readers with an axiomatic approach to deal with uncertainty. For this new edition the entire text has been totally rewritten. The chapters on chance theory and uncertainty theory are completely new. Mathematicians, researchers, engineers, designers, and students will find this work a stimulating and useful reference.

Uncertainty Theory

Baoding Liu

Author : Baoding Liu
Publisher : Springer Science & Business Media
Page : 350 pages
File Size : 48,6 Mb
Release : 2011-11-07
Category : Computers
ISBN : 9783642139581

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Uncertainty Theory by Baoding Liu Pdf

Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, countable subadditivity, and product measure axioms. Uncertainty is any concept that satisfies the axioms of uncertainty theory. Thus uncertainty is neither randomness nor fuzziness. It is also known from some surveys that a lot of phenomena do behave like uncertainty. How do we model uncertainty? How do we use uncertainty theory? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory, including uncertain programming, uncertain risk analysis, uncertain reliability analysis, uncertain process, uncertain calculus, uncertain differential equation, uncertain logic, uncertain entailment, and uncertain inference. Mathematicians, researchers, engineers, designers, and students in the field of mathematics, information science, operations research, system science, industrial engineering, computer science, artificial intelligence, finance, control, and management science will find this work a stimulating and useful reference.

Managing in Uncertainty: Theory and Practice

Constantin Zopounidis,Panos M. Pardalos

Author : Constantin Zopounidis,Panos M. Pardalos
Publisher : Springer Science & Business Media
Page : 520 pages
File Size : 50,6 Mb
Release : 2013-04-17
Category : Business & Economics
ISBN : 9781475728453

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Managing in Uncertainty: Theory and Practice by Constantin Zopounidis,Panos M. Pardalos Pdf

This book provides a new point of view on the subject of the management of uncertainty. It covers a wide variety of both theoretical and practical issues involving the analysis and management of uncertainty in the fields of finance, management and marketing. Audience: Researchers and professionals from operations research, management science and economics.

Decision Making Under Uncertainty

Mykel J. Kochenderfer

Author : Mykel J. Kochenderfer
Publisher : MIT Press
Page : 350 pages
File Size : 46,7 Mb
Release : 2015-07-24
Category : Computers
ISBN : 9780262331715

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Decision Making Under Uncertainty by Mykel J. Kochenderfer Pdf

An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.

Uncertainty in Economic Theory

Itzhak Gilboa

Author : Itzhak Gilboa
Publisher : Routledge
Page : 584 pages
File Size : 54,7 Mb
Release : 2004-08-02
Category : Business & Economics
ISBN : 9781134344154

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Uncertainty in Economic Theory by Itzhak Gilboa Pdf

This volume brings together important papers, coupled with new introductions, in the massively influential area of uncertainty in economic theory. Seminal papers are available together for the first time in book format, with new introductions and under the steely editorship of Itzhak Gilboa - this book is a useful reference tool for economists all over the globe.

Decision Making under Deep Uncertainty

Vincent A. W. J. Marchau,Warren E. Walker,Pieter J. T. M. Bloemen,Steven W. Popper

Author : Vincent A. W. J. Marchau,Warren E. Walker,Pieter J. T. M. Bloemen,Steven W. Popper
Publisher : Springer
Page : 408 pages
File Size : 49,6 Mb
Release : 2019-04-04
Category : Business & Economics
ISBN : 9783030052522

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Decision Making under Deep Uncertainty by Vincent A. W. J. Marchau,Warren E. Walker,Pieter J. T. M. Bloemen,Steven W. Popper Pdf

This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Toeplitz Approach to Problems of the Uncertainty Principle

Alexei Poltoratski

Author : Alexei Poltoratski
Publisher : American Mathematical Soc.
Page : 216 pages
File Size : 53,6 Mb
Release : 2015-03-07
Category : Mathematics
ISBN : 9781470420178

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Toeplitz Approach to Problems of the Uncertainty Principle by Alexei Poltoratski Pdf

The Uncertainty Principle in Harmonic Analysis (UP) is a classical, yet rapidly developing, area of modern mathematics. Its first significant results and open problems date back to the work of Norbert Wiener, Andrei Kolmogorov, Mark Krein and Arne Beurling. At present, it encompasses a large part of mathematics, from Fourier analysis, frames and completeness problems for various systems of functions to spectral problems for differential operators and canonical systems. These notes are devoted to the so-called Toeplitz approach to UP which recently brought solutions to some of the long-standing problems posed by the classics. After a short overview of the general area of UP the discussion turns to the outline of the new approach and its results. Among those are solutions to Beurling's Gap Problem in Fourier analysis, the Type Problem on completeness of exponential systems, a problem by Pólya and Levinson on sampling sets for entire functions, Bernstein's problem on uniform polynomial approximation, problems on asymptotics of Fourier integrals and a Toeplitz version of the Beurling-Malliavin theory. One of the main goals of the book is to present new directions for future research opened by the new approach to the experts and young analysts. A co-publication of the AMS and CBMS.

Encyclopedia of Nursing Research

Joyce J. Fitzpatrick,Meredith Wallace (PhD, RN.)

Author : Joyce J. Fitzpatrick,Meredith Wallace (PhD, RN.)
Publisher : Springer Publishing Company
Page : 844 pages
File Size : 43,5 Mb
Release : 2006
Category : Medical
ISBN : 0826198139

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Encyclopedia of Nursing Research by Joyce J. Fitzpatrick,Meredith Wallace (PhD, RN.) Pdf

From the worldOCOs leading authorities in nursing research, this thoroughly updated 2nd Edition of the Encyclopedia of Nursing Research presents key terms and concepts in nursing research comprehensively explained by over 200 expert contributors."

Theory of Decision Under Uncertainty

Itzhak Gilboa

Author : Itzhak Gilboa
Publisher : Cambridge University Press
Page : 216 pages
File Size : 54,9 Mb
Release : 2009-03-16
Category : Business & Economics
ISBN : 9780521517324

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Theory of Decision Under Uncertainty by Itzhak Gilboa Pdf

This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories. It focuses on the meaning of probability, discussing some definitions and surveying their scope of applicability. The behavioral definition of subjective probability serves as a way to present the classical theories, culminating in Savage's theorem. The limitations of this result as a definition of probability lead to two directions - first, similar behavioral definitions of more general theories, such as non-additive probabilities and multiple priors, and second, cognitive derivations based on case-based techniques.

Uncertainty Principle of Werner Heisenberg

IntroBooks Team

Author : IntroBooks Team
Publisher : IntroBooks
Page : 128 pages
File Size : 50,5 Mb
Release : 2024-06-17
Category : Science
ISBN : 8210379456XXX

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Uncertainty Principle of Werner Heisenberg by IntroBooks Team Pdf

Quantum mechanics is widely considered to be the scientific theory that is one's best choice for the fundamental and universal explanation of the physical world. The conceptual structure used in this theory varies dramatically from that of classical physics. After all, the transition from classical to quantum physics is a true revolution in people's understanding of the physical universe. One striking feature of the distinction between classical and quantum physics is that while classical mechanics assumes that precise simultaneous values can be assigned to all physical quantities, quantum mechanics, on the other hand, rejects this possibility, the classic example being the momentum and position of a particle.

Elements for a Theory of Decision in Uncertainty

Jaime Gil-Aluja

Author : Jaime Gil-Aluja
Publisher : Springer Science & Business Media
Page : 354 pages
File Size : 49,6 Mb
Release : 1999-11-30
Category : Business & Economics
ISBN : 0792359879

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Elements for a Theory of Decision in Uncertainty by Jaime Gil-Aluja Pdf

This book provides tools for making decisions in an environment of uncertainty. In Chapter 1 the author explains the most important aspects of the concept of relation. From this start arise the other three concepts that cover practically all processes from which decisions stem. These three concepts are: attribution from which the concept of assignment arises; and grouping, which includes the concept of an original function. The techniques presented, as well as the models and algorithms developed, constitute an invaluable aid for those who must make decisions. Audience: Researchers and graduate students interested in mathematics applied to economics and management.

Uncertainty and Information

George J. Klir

Author : George J. Klir
Publisher : John Wiley & Sons
Page : 499 pages
File Size : 47,8 Mb
Release : 2005-11-22
Category : Technology & Engineering
ISBN : 9780471755562

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Uncertainty and Information by George J. Klir Pdf

Deal with information and uncertainty properly and efficientlyusing tools emerging from generalized information theory Uncertainty and Information: Foundations of Generalized InformationTheory contains comprehensive and up-to-date coverage of resultsthat have emerged from a research program begun by the author inthe early 1990s under the name "generalized information theory"(GIT). This ongoing research program aims to develop a formalmathematical treatment of the interrelated concepts of uncertaintyand information in all their varieties. In GIT, as in classicalinformation theory, uncertainty (predictive, retrodictive,diagnostic, prescriptive, and the like) is viewed as amanifestation of information deficiency, while information isviewed as anything capable of reducing the uncertainty. A broadconceptual framework for GIT is obtained by expanding theformalized language of classical set theory to include moreexpressive formalized languages based on fuzzy sets of varioustypes, and by expanding classical theory of additive measures toinclude more expressive non-additive measures of varioustypes. This landmark book examines each of several theories for dealingwith particular types of uncertainty at the following fourlevels: * Mathematical formalization of the conceived type ofuncertainty * Calculus for manipulating this particular type ofuncertainty * Justifiable ways of measuring the amount of uncertainty in anysituation formalizable in the theory * Methodological aspects of the theory With extensive use of examples and illustrations to clarify complexmaterial and demonstrate practical applications, generoushistorical and bibliographical notes, end-of-chapter exercises totest readers' newfound knowledge, glossaries, and an Instructor'sManual, this is an excellent graduate-level textbook, as well as anoutstanding reference for researchers and practitioners who dealwith the various problems involving uncertainty and information. AnInstructor's Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment.

Middle Range Theory for Nursing, Second Edition

Mary Jane Smith, PhD, RN,Patricia R. Liehr, PhD, ARNP

Author : Mary Jane Smith, PhD, RN,Patricia R. Liehr, PhD, ARNP
Publisher : Springer Publishing Company
Page : 344 pages
File Size : 54,9 Mb
Release : 2008-09-17
Category : Medical
ISBN : 0826119174

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Middle Range Theory for Nursing, Second Edition by Mary Jane Smith, PhD, RN,Patricia R. Liehr, PhD, ARNP Pdf

2009 AJN Book of the Year Award Winner! Designated a Doody's Core Title! Middle Range Theory for Nursing is a textbook designed for theory and research courses in master's and doctoral programs. As described in the 2d edition of the Encyclopedia of Nursing Research, middle range theory "is a basic, usable structure of ideas, less abstract than grand theory and more abstract than empirical generalizations or micro-range theoryÖ. Middle-range theories are developed and grown at the intersection of practice and research to provide guidance for everyday practice and scholarly research rooted in the discipline of nursing." In this revised and updated second edition, the authors will revise the eight theories that were examined in the first edition with published research and practice updates along with any changes in the basic concepts and models. Seven new theories will be added. Each theory is presented by the theorist in a consistent format: purpose of the theory; basic concepts; relationships among the concepts, the model; use of the theory in nursing research and/or practice; conclusions; references. Theories new to the second edition Symptom Management (Dodd et al.) Caring (Swanson) Embodied Language (Liehr et al.) Cultural Self-reliance (Lowe) Caregiver Stress (Tsai) Clinical Decision Making (Chase) Moral Reckoning (Nathaniel)

Middle Range Theory for Nursing, Fourth Edition

Mary Jane Smith, PhD, RN, FAAN,Patricia R. Liehr, PhD, RN

Author : Mary Jane Smith, PhD, RN, FAAN,Patricia R. Liehr, PhD, RN
Publisher : Springer Publishing Company
Page : 424 pages
File Size : 54,5 Mb
Release : 2018-03-10
Category : Medical
ISBN : 9780826159922

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Middle Range Theory for Nursing, Fourth Edition by Mary Jane Smith, PhD, RN, FAAN,Patricia R. Liehr, PhD, RN Pdf

Three-time recipient of the AJN Book of the Year Award! Praise for the third edition: “This is an outstanding edition of this book. It has great relevance for learning about, developing, and using middle range theories. It is very user friendly, yet scholarly." Score: 90, 4 Stars -Doody's Medical Reviews The fourth edition of this invaluable publication on middle range theory in nursing reflects the most current theoretical advances in the field. With two additional chapters, new content incorporates exemplars that bridge middle range theory to advanced nursing practice and research. Additional content for DNP and PhD programs includes two new theories: Bureaucratic Caring and Self-Care of Chronic Illness. This user-friendly text stresses how theory informs practice and research in the everyday world of nursing. Divided into four sections, content sets the stage for understanding middle range theory by elaborating on disciplinary perspectives, an organizing framework, and evaluation of the theory. Middle Range Theory for Nursing, Fourth Edition presents a broad spectrum of 13 middle range theories. Each theory is broken down into its purpose, development, and conceptual underpinnings, and includes a model demonstrating the relationships among the concepts, and the use of the theory in research and practice. In addition, concept building for research through the lens of middle range theory is presented as a rigorous 10-phase process that moves from a practice story to a conceptual foundation. Exemplars are presented clarifying both the concept building process and the use of conceptual structures in research design. This new edition remains an essential text for advanced practice, theory, and research courses. New to the Fourth Edition: Reflects new theoretical advances Two completely new chapters New content for DNP and PhD programs Two new theories: Bureaucratic Caring and Self-Care of Chronic Illness Two articles from Advances in Nursing Science documenting a historical meta-perspective on middle range theory development Key Features: Provides a strong contextual foundation for understanding middle range theory Introduces the Ladder of Abstraction to clarify the range of nursing’s theoretical foundation Presents 13 middle range theories with philosophical, conceptual, and empirical dimensions of each theory Includes Appendix summarizing middle range theories from 1988 to 2016

Belief Reliability Theory and Methodology

Rui Kang

Author : Rui Kang
Publisher : Springer Nature
Page : 187 pages
File Size : 53,8 Mb
Release : 2021-08-01
Category : Technology & Engineering
ISBN : 9789811608230

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Belief Reliability Theory and Methodology by Rui Kang Pdf

This book, from the perspective of reliability science construction, proposes a new theory called BELIEF RELIABILITY theory on the basis of probability theory, uncertainty theory and chance theory. The main topics include the philosophical basis of reliability science, the principles of reliability science, the criteria of reasonable reliability metrics and the basic theoretical framework and methodology of belief reliability theory. In this book, the belief reliability metric, analysis, design and evaluation methods will provide readers with a brand-new perspective on reliability applications and uncertainty quantification.

Uncertainty Theory

Uncertainty Theory by Baoding Liu Pdf

Uncertainty Theory by Baoding Liu Pdf

Managing in Uncertainty: Theory and Practice by Constantin Zopounidis,Panos M. Pardalos Pdf

Decision Making Under Uncertainty by Mykel J. Kochenderfer Pdf

Uncertainty in Economic Theory by Itzhak Gilboa Pdf

Decision Making under Deep Uncertainty by Vincent A. W. J. Marchau,Warren E. Walker,Pieter J. T. M. Bloemen,Steven W. Popper Pdf

Toeplitz Approach to Problems of the Uncertainty Principle by Alexei Poltoratski Pdf

Encyclopedia of Nursing Research by Joyce J. Fitzpatrick,Meredith Wallace (PhD, RN.) Pdf

Theory of Decision Under Uncertainty by Itzhak Gilboa Pdf

Uncertainty Principle of Werner Heisenberg by IntroBooks Team Pdf

Elements for a Theory of Decision in Uncertainty by Jaime Gil-Aluja Pdf

Uncertainty and Information by George J. Klir Pdf

Middle Range Theory for Nursing, Second Edition by Mary Jane Smith, PhD, RN,Patricia R. Liehr, PhD, ARNP Pdf

Middle Range Theory for Nursing, Fourth Edition by Mary Jane Smith, PhD, RN, FAAN,Patricia R. Liehr, PhD, RN Pdf

Belief Reliability Theory and Methodology by Rui Kang Pdf

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