Objectives And Multi Objective Decision Making Under Uncertainty

Author : J. Wilhelm
Publisher : Springer Science & Business Media
ISBN 13 : 3642463266
Total Pages : 118 pages
Book Rating : 4.66/5 ( download)

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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:

Author : Jochen Wilhelm
Publisher : Springer
ISBN 13 : 9780387074122
Total Pages : 0 pages
Book Rating : 4.20/5 ( download)

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Download or read book Objectives and Multi-objective Decision Making Under Uncertainty written by Jochen Wilhelm and published by Springer. This book was released on 1975 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Gerhard A. Aschinger
Publisher :
ISBN 13 : 9780387074122
Total Pages : 102 pages
Book Rating : 4.20/5 ( download)

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Download or read book Objectives and Multi-objective Decision Making Under Uncertainty written by Gerhard A. Aschinger and published by . This book was released on 1975 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Clinton W. Brownley
Publisher : Business Expert Press
ISBN 13 : 1606494538
Total Pages : 167 pages
Book Rating : 4.30/5 ( download)

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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.

Author : Ali E. Abbas
Publisher : Cambridge University Press
ISBN 13 : 1107161886
Total Pages : 787 pages
Book Rating : 4.87/5 ( download)

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Download or read book Improving Homeland Security Decisions written by Ali E. Abbas and published by Cambridge University Press. This book was released on 2017-11-02 with total page 787 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are we safer from terrorism today and is our homeland security money well spent? This book offers answers and more.

Author : Vira Chankong
Publisher : North-Holland
ISBN 13 :
Total Pages : 432 pages
Book Rating : 4.30/5 ( download)

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Download or read book Multiobjective Decision Making written by Vira Chankong and published by North-Holland. This book was released on 1983 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Diederik M. Zhou
Publisher : Springer Nature
ISBN 13 : 3031015762
Total Pages : 111 pages
Book Rating : 4.62/5 ( download)

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Download or read book Multi-Objective Decision Making written by Diederik M. Zhou and published by Springer Nature. This book was released on 2022-05-31 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this book, we outline how to deal with multiple objectives in decision-theoretic planning and reinforcement learning algorithms. To illustrate this, we employ the popular problem classes of multi-objective Markov decision processes (MOMDPs) and multi-objective coordination graphs (MO-CoGs). First, we discuss different use cases for multi-objective decision making, and why they often necessitate explicitly multi-objective algorithms. We advocate a utility-based approach to multi-objective decision making, i.e., that what constitutes an optimal solution to a multi-objective decision problem should be derived from the available information about user utility. We show how different assumptions about user utility and what types of policies are allowed lead to different solution concepts, which we outline in a taxonomy of multi-objective decision problems. Second, we show how to create new methods for multi-objective decision making using existing single-objective methods as a basis. Focusing on planning, we describe two ways to creating multi-objective algorithms: in the inner loop approach, the inner workings of a single-objective method are adapted to work with multi-objective solution concepts; in the outer loop approach, a wrapper is created around a single-objective method that solves the multi-objective problem as a series of single-objective problems. After discussing the creation of such methods for the planning setting, we discuss how these approaches apply to the learning setting. Next, we discuss three promising application domains for multi-objective decision making algorithms: energy, health, and infrastructure and transportation. Finally, we conclude by outlining important open problems and promising future directions.

Author : Ralph L. Keeney
Publisher : Cambridge University Press
ISBN 13 : 9780521438834
Total Pages : 596 pages
Book Rating : 4.37/5 ( download)

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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.

Author : Carlos Coello Coello
Publisher : Springer
ISBN 13 : 3540318801
Total Pages : 927 pages
Book Rating : 4.04/5 ( download)

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Download or read book Evolutionary Multi-Criterion Optimization written by Carlos Coello Coello and published by Springer. This book was released on 2005-01-28 with total page 927 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005, held in Guanajuato, Mexico, in March 2005. The 59 revised full papers presented together with 2 invited papers and the summary of a tutorial were carefully reviewed and selected from the 115 papers submitted. The papers are organized in topical sections on algorithm improvements, incorporation of preferences, performance analysis and comparison, uncertainty and noise, alternative methods, and applications in a broad variety of fields.

Author : C.-L. Hwang
Publisher : Springer Science & Business Media
ISBN 13 : 3642455115
Total Pages : 366 pages
Book Rating : 4.17/5 ( download)

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Download or read book Multiple Objective Decision Making — Methods and Applications written by C.-L. Hwang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision making is the process of selecting a possible course of action from all the available alternatives. In almost all such problems the multiplicity of criteria for judging the alternatives is pervasive. That is, for many such problems, the decision maker (OM) wants to attain more than one objective or goal in selecting the course of action while satisfying the constraints dictated by environment, processes, and resources. Another characteristic of these problems is that the objectives are apparently non commensurable. Mathematically, these problems can be represented as: (1. 1 ) subject to: gi(~) ~ 0, ,', . . . ,. ! where ~ is an n dimensional decision variable vector. The problem consists of n decision variables, m constraints and k objectives. Any or all of the functions may be nonlinear. In literature this problem is often referred to as a vector maximum problem (VMP). Traditionally there are two approaches for solving the VMP. One of them is to optimize one of the objectives while appending the other objectives to a constraint set so that the optimal solution would satisfy these objectives at least up to a predetermined level. The problem is given as: Max f. ~) 1 (1. 2) subject to: where at is any acceptable predetermined level for objective t. The other approach is to optimize a super-objective function created by multiplying each 2 objective function with a suitable weight and then by adding them together.