Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Multiobjective Decision Making Under Certainty
Download Multiobjective Decision Making Under Certainty full books in PDF, epub, and Kindle. Read online Multiobjective Decision Making Under Certainty ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Decisions with Multiple Objectives by : Ralph L. Keeney
Download or read book Decisions with Multiple Objectives written by Ralph L. Keeney and published by Cambridge University Press. This book was released on 1993-07 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes how a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe their thoughts and feelings in order to make the critically important trade-offs between incommensurable objectives.
Book Synopsis Multiobjective Decision Making Under Certainty by : Tom Hemming
Download or read book Multiobjective Decision Making Under Certainty written by Tom Hemming and published by Economic Research Institute. This book was released on 1978 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Objectives and Multi-Objective Decision Making Under Uncertainty by : J. Wilhelm
Download or read book Objectives and Multi-Objective Decision Making Under Uncertainty written by J. Wilhelm and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multiobjective Decision Making by : Vira Chankong
Download or read book Multiobjective Decision Making written by Vira Chankong and published by Courier Dover Publications. This book was released on 2008-02-04 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first-rate text explores the theory and methodology of systems engineering in evaluating alternative courses of action and associated decision-making policies. It treats criteria as multidimensional, rather than scalar, in the development of normative theories. These contribute to a behavioral theory of decision making and provide guidance for exercising judgment. An introductory discussion of the systemic approach to judgment and decision is followed by explorations of psychological value measurements, utility, classical decision analysis, and vector optimization theory. The second section chiefly deals with methods of assessing and evaluating alternatives, including both noninteractive and interactive methods. A taxonomy and a comparative evaluation of methods conclude the text.
Book Synopsis Decision Making Under Uncertainty by : Mykel J. Kochenderfer
Download or read book Decision Making Under Uncertainty written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2015-07-24 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery by : Yong Liu
Download or read book Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery written by Yong Liu and published by Springer. This book was released on 2019-11-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.
Book Synopsis Strategic Decision Making by : Craig W. Kirkwood
Download or read book Strategic Decision Making written by Craig W. Kirkwood and published by Brooks/Cole. This book was released on 1997 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work on strategic decision making focuses on multi-objective decision analysis with spreadsheets
Book Synopsis Multi-objective Decision Analysis by : Clinton W. Brownley
Download or read book Multi-objective Decision Analysis written by Clinton W. Brownley and published by Business Expert Press. This book was released on 2013-03-28 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether managing strategy, operations or products, knowing how to make the best decision in a complex, uncertain business environment is difficult. You might be faced with multiple, competing objectives, which means making trade-offs. To complicate matters, any uncertainty makes it hard to explicitly understand how different objectives will impact potential outcomes. This book will help you face these problems. It provides a decision analysis framework implemented as a simple spreadsheet tool. This multi-objective decision analysis framework helps you to measure trade-offs among objectives and incorporate uncertainties and risk preferences. With this book, you will be able to identify what information is needed to make a decision, define how that information should be combined, and, finally, provide quantifiable evidence to clearly communicate and justify the decision. The process involves minimal overhead and is perfect for busy professionals who need a simple, structured process for making, tracking, and communicating decisions. This process makes decision making more efficient by focusing only on information and factors that are well-defined, measureable, and relevant to the decision at hand. The framework requires clear characterization of a decision, ensuring that it can be traced and is consistent with the intended objectives and organizational values. Using this structured decision-making framework, anyone can consistently make better decisions to gain competitive and strategic advantage.
Book Synopsis Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty by : Shi-Yu Huang
Download or read book Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty written by Shi-Yu Huang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Operations Research is a field whose major contribution has been to propose a rigorous fonnulation of often ill-defmed problems pertaining to the organization or the design of large scale systems, such as resource allocation problems, scheduling and the like. While this effort did help a lot in understanding the nature of these problems, the mathematical models have proved only partially satisfactory due to the difficulty in gathering precise data, and in formulating objective functions that reflect the multi-faceted notion of optimal solution according to human experts. In this respect linear programming is a typical example of impressive achievement of Operations Research, that in its detenninistic fonn is not always adapted to real world decision-making : everything must be expressed in tenns of linear constraints ; yet the coefficients that appear in these constraints may not be so well-defined, either because their value depends upon other parameters (not accounted for in the model) or because they cannot be precisely assessed, and only qualitative estimates of these coefficients are available. Similarly the best solution to a linear programming problem may be more a matter of compromise between various criteria rather than just minimizing or maximizing a linear objective function. Lastly the constraints, expressed by equalities or inequalities between linear expressions, are often softer in reality that what their mathematical expression might let us believe, and infeasibility as detected by the linear programming techniques can often been coped with by making trade-offs with the real world.
Book Synopsis Sensitivity Analysis in Multi-objective Decision Making by : David Rios Insua
Download or read book Sensitivity Analysis in Multi-objective Decision Making written by David Rios Insua and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: The axiomatic foundations of the Bayesian approach to decision making assurne precision in the decision maker's judgements. In practicc, dccision makers often provide only partial and/or doubtful information. We unify and expand results to deal with those cases introducing a general framework for sensitivity analysis in multi-objective decision making. We study first decision making problems under partial information. We provide axioms leading to modelling preferences by families of value functions, in problems under certainty, and moJelling beliefs by families of probability distributions and preferences by familics of utility functions, in problems under uncertainty. Both problems are treated in parallel with the same parametric model. Alternatives are ordered in a Pareto sense, the solution of the problem being the set of non dominated alternatives. Potentially optimal solutions also seem acceptable, from an intuitive point of view and due to their relation with the nondominated ones. Algorithms are provided to compute these solutions in general problems and in cases typical in practice: linear and bilinear problems. Other solution concepts are criticised on the grounds of being ad hoc. In summary, we have a more ro bust theory of decision making based on a weaker set ofaxioms, but embodying coherence, since it essentially implies carrying out a family of coherent dccision anitlyses.
Book Synopsis Information Technology Investment by : Marc J. Schniederjans
Download or read book Information Technology Investment written by Marc J. Schniederjans and published by World Scientific. This book was released on 2010 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the individual to the largest organization, everyone today has to make investments in IT. Making a smart investment that will best satisfy all the necessary decision-making criteria requires careful and inclusive analysis. This textbook provides an up-to-date, in-depth understanding of the methodologies available to aid in this complex process of multi-criteria decision-making. It guides readers on the process of technology acquisition ? what methods to use to make IT investment decisions, how to choose the technology and justify its selection, and how the decision will impact the organization.Unique to this textbook are both financial investment models and more complex decision-making models from the field of management science so that readers can extend the analysis benefits to enhance and confirm their IT investment choices. The wide range of methodologies featured in the book gives readers the opportunity to customize their best-fit solutions for their unique IT decision situation. This textbook is especially ideal for educators and students involved in programs dealing with technology management, operations management, applied finance, operations research, and industrial engineering.A complimentary copy of the ?Instructor's Manual and Test Bank? and the PowerPoint presentations of the text materials are available for all instructors who adopt this book as a course text. Please send your request to [email protected].
Book Synopsis Theory of Multiobjective Optimization by : Yoshikazu Sawaragi
Download or read book Theory of Multiobjective Optimization written by Yoshikazu Sawaragi and published by Elsevier. This book was released on 1985-09-19 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression. - Best operator approximation,- Non-Lagrange interpolation,- Generic Karhunen-Loeve transform- Generalised low-rank matrix approximation- Optimal data compression- Optimal nonlinear filtering
Book Synopsis Intelligent Robots and Systems by : V. Graefe
Download or read book Intelligent Robots and Systems written by V. Graefe and published by Elsevier. This book was released on 1995-09-27 with total page 745 pages. Available in PDF, EPUB and Kindle. Book excerpt: Of the 300 papers presented during IROS '94, 48 were selected because they are particularly significant and characteristic for the present state of the technology of intelligent robots and systems. This book contains the selected papers in a revised and expanded form.Robotics and intelligent systems constitute a very wide and truly interdisciplinary field. The papers have been grouped into the following categories:– Sensing and Perception – Learning and Planning– Manipulation– Telerobotics and Space Robotics– Multiple Robots– Legged Locomotion– Mobile Robot Systems– Robotics in MedicineOther additional fields covered include; control, navigation and simulation. Since many researchers in robotics are now apparently interested in some combination of learning, mobile robots and robot vision, most of the articles included relate to at least one of these fields.
Book Synopsis Interactive Multiobjective Decision Making Under Uncertainty by : Hitoshi Yano
Download or read book Interactive Multiobjective Decision Making Under Uncertainty written by Hitoshi Yano and published by CRC Press. This book was released on 2017-02-03 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, many books on multiobjective programming have been published. However, only a few books have been published, in which multiobjective programming under the randomness and the fuzziness are investigated. On the other hand, several books on multilevel programming have been published, in which multiple decision makers are involved in hierarchical decision situations. In this book, we introduce the latest advances in the field of multiobjective programming and multilevel programming under uncertainty. The reader can immediately use proposed methods to solve multiobjective programming and multilevel programming, which are based on linear programming or convex programming technique. Organization of each capter is summarized as follows. In Chapter 2, multiobjective programming problems with random variables are formulated, and the corresponding interactive algorithms are developed to obtain a satisfactory solution, in which the fuzziness of human's subjective judgment for permission levels are considered. In Chapter 3, multiobjective programming problems with fuzzy random variables are formulated, and the corresponding interactive algorithms are developed to obtain a satisfactory solution, in which not only the uncertainty of fuzzy random variables but also the fuzziness of human's subjective judgment for permission levels are considered. In Chapter 4, multiobjective multilevel programming is discussed, and the interactive algorithms are developed to obtain a satisfactory solution, in which the hierarchical decision structure of multiple decision makers is reflected. In Chapter 5, two kinds of farm planning problems are solved by applying the proposed method, in which cost coefficients of crops are expressed by random variables.
Book Synopsis Intelligent Energy Field Manufacturing by : Wenwu Zhang
Download or read book Intelligent Energy Field Manufacturing written by Wenwu Zhang and published by CRC Press. This book was released on 2018-10-03 with total page 987 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edited by prominent researchers and with contributions from experts in their individual areas, Intelligent Energy Field Manufacturing: Interdisciplinary Process Innovations explores a new philosophy of engineering. An in-depth introduction to Intelligent Energy Field Manufacturing (EFM), this book explores a fresh engineering methodology that not only integrates but goes beyond methodologies such as Design for Six Sigma, Lean Manufacturing, Concurrent Engineering, TRIZ, green and sustainable manufacturing, and more. This book gives a systematic introduction to classic non-mechanical manufacturing processes as well as offering big pictures of some technical frontiers in modern engineering. The book suggests that any manufacturing process is actually a process of injecting human intelligence into the interaction between material and the various energy fields in order to transfer the material into desired configurations. It discusses technological innovation, dynamic M-PIE flows, the generalities of energy fields, logic functional materials and intelligence, the open scheme of intelligent EFM implementation, and the principles of intelligent EFM. The book takes a highly interdisciplinary approach that includes research frontiers such as micro/nano fabrication, high strain rate processes, laser shock forming, materials science and engineering, bioengineering, etc., in addition to a detailed treatment of the so called "non-traditional" manufacturing processes, which covers waterjet machining, laser material processing, ultrasonic material processing, EDM/ECM, etc. Filled with illustrative pictures, figures, and tables that make technical materials more absorbable, the book cuts across multiple engineering disciplines. The majority of books in this area report the facts of proven knowledge, while the behind-the-scenes thinking is usually neglected. This book examines the big picture of manufacturing in depth before diving into the deta
Book Synopsis Managing Critical Infrastructure Risks by : Igor Linkov
Download or read book Managing Critical Infrastructure Risks written by Igor Linkov and published by Springer Science & Business Media. This book was released on 2007-09-17 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a state-of-the-science approach to current environmental security threats and infrastructure vulnerabilities. It emphasizes beliefs that the convergence of seemingly disparate viewpoints and often uncertain and limited information is possible only by using one or more available risk assessment methodologies and decision-making tools such as risk assessment and multi-criteria decision analysis (MCDA).
Book Synopsis Computational Methods for Agricultural Research: Advances and Applications by : do Prado, Hrcules Antonio
Download or read book Computational Methods for Agricultural Research: Advances and Applications written by do Prado, Hrcules Antonio and published by IGI Global. This book was released on 2010-10-31 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book brings computing solutions to ancient practices and modern concerns, sowing the seeds for a sustainable, constant food supply, utilizing cutting-edge computational techniques"--Provided by publisher.
