Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Multiobjektive Decision Making Under Certainty
Download Multiobjektive Decision Making Under Certainty full books in PDF, epub, and Kindle. Read online Multiobjektive 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 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 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. This book was released on 2014-03-12 with total page 193 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 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 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 Multiobjective decision making under certainty by : Tom Hemming
Download or read book Multiobjective decision making under certainty written by Tom Hemming and published by . This book was released on 1978 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Sensitivity Analysis in Multi-objective Decision Making by : David Ríos Insua
Download or read book Sensitivity Analysis in Multi-objective Decision Making written by David Ríos Insua and published by Springer. This book was released on 1990 with total page 214 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 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 Objectives and Multi-objective Decision Making Under Uncertainty by : Jochen Wilhelm
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:
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 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 Multi Objective Decision-making Under Uncertainty by : Patric S. Bieler
Download or read book Multi Objective Decision-making Under Uncertainty written by Patric S. Bieler and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multiple Objective Decision Making — Methods and Applications by : C.-L. Hwang
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.
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 Multi-objective Decision Making by :
Download or read book Multi-objective Decision Making written by and published by . This book was released on 1983 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Uncertain Multi-Attribute Decision Making by : Zeshui Xu
Download or read book Uncertain Multi-Attribute Decision Making written by Zeshui Xu and published by Springer. This book was released on 2016-10-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces methods for uncertain multi-attribute decision making including uncertain multi-attribute group decision making and their applications to supply chain management, investment decision making, personnel assessment, redesigning products, maintenance services, military system efficiency evaluation. Multi-attribute decision making, also known as multi-objective decision making with finite alternatives, is an important component of modern decision science. The theory and methods of multi-attribute decision making have been extensively applied in engineering, economics, management and military contexts, such as venture capital project evaluation, facility location, bidding, development ranking of industrial sectors and so on. Over the last few decades, great attention has been paid to research on multi-attribute decision making in uncertain settings, due to the increasing complexity and uncertainty of supposedly objective aspects and the fuzziness of human thought. This book can be used as a reference guide for researchers and practitioners working in e.g. the fields of operations research, information science, management science and engineering. It can also be used as a textbook for postgraduate and senior undergraduate students.
Book Synopsis Decision Making Under Uncertainty by : David E. Bell
Download or read book Decision Making Under Uncertainty written by David E. Bell and published by Thomson South-Western. This book was released on 1995 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: These authors draw on nearly 50 years of combined teaching and consulting experience to give readers a straightforward yet systematic approach for making estimates about the likelihood and consequences of future events -- and then using those assessments to arrive at sound decisions. The book's real-world cases, supplemented with expository text and spreadsheets, help readers master such techniques as decision trees and simulation, such concepts as probability, the value of information, and strategic gaming; and such applications as inventory stocking problems, bidding situations, and negotiating.
Book Synopsis Multi-objective Decision Making by : Vira Chankong
Download or read book Multi-objective Decision Making written by Vira Chankong and published by . This book was released on 1983 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt:
