Multi-Level Decision Making

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Publisher : Springer
ISBN 13 : 3662460599
Total Pages : 385 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Multi-Level Decision Making by : Guangquan Zhang

Download or read book Multi-Level Decision Making written by Guangquan Zhang and published by Springer. This book was released on 2015-02-07 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice. This monograph combines decision theories, methods, algorithms and applications effectively. It discusses in detail the models and solution algorithms of each issue of bi-level and tri-level decision-making, such as multi-leaders, multi-followers, multi-objectives, rule-set-based, and fuzzy parameters. Potential readers include organizational managers and practicing professionals, who can use the methods and software provided to solve their real decision problems; PhD students and researchers in the areas of bi-level and multi-level decision-making and decision support systems; students at an advanced undergraduate, master’s level in information systems, business administration, or the application of computer science.

Multiple Objective Decision Making — Methods and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3642455115
Total Pages : 366 pages
Book Rating : 4.6/5 (424 download)

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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.

Distributed Decision Making

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Publisher : Springer Science & Business Media
ISBN 13 : 3540247246
Total Pages : 533 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Distributed Decision Making by : Christoph Schneeweiss

Download or read book Distributed Decision Making written by Christoph Schneeweiss and published by Springer Science & Business Media. This book was released on 2012-11-07 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed decision making (DDM) has become of increasing importance in quantitative decision analysis. In applications like supply chain management, service operations, or managerial accounting, DDM has led to a paradigm shift. The book provides a unified approach to such seemingly diverse fields as multi-level stochastic programming, hierarchical production planning, principal agent theory, negotiations or contract theory. Different settings like multi-level one-person decision problems, multi-person antagonistic planning, and leadership situations are covered. Numerous examples and real-life planning cases illustrate the concepts. The new edition has been considerably expanded by additional chapters on supply chain management, service operations and multi-agent systems.

Multi-criteria Decision Making Methods

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Publisher : Springer Science & Business Media
ISBN 13 : 1475731574
Total Pages : 307 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Multi-criteria Decision Making Methods by : Evangelos Triantaphyllou

Download or read book Multi-criteria Decision Making Methods written by Evangelos Triantaphyllou and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-Criteria Decision Making (MCDM) has been one of the fastest growing problem areas in many disciplines. The central problem is how to evaluate a set of alternatives in terms of a number of criteria. Although this problem is very relevant in practice, there are few methods available and their quality is hard to determine. Thus, the question `Which is the best method for a given problem?' has become one of the most important and challenging ones. This is exactly what this book has as its focus and why it is important. The author extensively compares, both theoretically and empirically, real-life MCDM issues and makes the reader aware of quite a number of surprising `abnormalities' with some of these methods. What makes this book so valuable and different is that even though the analyses are rigorous, the results can be understood even by the non-specialist. Audience: Researchers, practitioners, and students; it can be used as a textbook for senior undergraduate or graduate courses in business and engineering.

Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering

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Publisher : Academic Press
ISBN 13 : 0128240873
Total Pages : 334 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering by : Ilker Ozsahin

Download or read book Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering written by Ilker Ozsahin and published by Academic Press. This book was released on 2021-03-25 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering contains several practical applications on how decision-making theory could be used in solving problems relating to the selection of best alternatives. The book focuses on assisting decision-makers (government, organizations, companies, general public, etc.) in making the best and most appropriate decision when confronted with multiple alternatives. The purpose of the analytical MCDM techniques is to support decision makers under uncertainty and conflicting criteria while making logical decisions. The knowledge of the alternatives of the real-life problems, properties of their parameters, and the priority given to the parameters have a great effect on consequences in decision-making. In this book, the application of MCDM has been provided for the real-life problems in health and biomedical engineering issues. - Provides a comprehensive analysis and application multi-criteria decision-making methods - Presents detail information about MCDM and their usage - Covers state-of-the-art MCDM methods and offers applications of MCDM for health and biomedical engineering purposes

New Concepts and Trends of Hybrid Multiple Criteria Decision Making

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Publisher : CRC Press
ISBN 13 : 1351680625
Total Pages : 404 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis New Concepts and Trends of Hybrid Multiple Criteria Decision Making by : Gwo-Hshiung Tzeng

Download or read book New Concepts and Trends of Hybrid Multiple Criteria Decision Making written by Gwo-Hshiung Tzeng and published by CRC Press. This book was released on 2017-08-15 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: When people or computers need to make a decision, typically multiple conflicting criteria need to be evaluated; for example, when we buy a car, we need to consider safety, cost and comfort. Multiple criteria decision making (MCDM) has been researched for decades. Now as the rising trend of big-data analytics in supporting decision making, MCDM can be more powerful when combined with state-of-the-art analytics and machine learning. In this book, the authors introduce a new framework of MCDM, which can lead to more accurate decision making. Several real-world cases will be included to illustrate the new hybrid approaches.

Fuzzy Multi-Criteria Decision Making

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Publisher : Springer Science & Business Media
ISBN 13 : 0387768130
Total Pages : 591 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Fuzzy Multi-Criteria Decision Making by : Cengiz Kahraman

Download or read book Fuzzy Multi-Criteria Decision Making written by Cengiz Kahraman and published by Springer Science & Business Media. This book was released on 2008-08-09 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, fuzzy multiobjective geometric programming, and more. Each of the 22 chapters includes practical applications along with new developments/results. This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses. It will also be an excellent resource, providing new suggestions and directions for further research, for computer programmers, mathematicians, and scientists in a variety of disciplines where multicriteria decision making is needed.

Fuzzy and Multi-Level Decision Making: Soft Computing Approaches

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Publisher : Springer
ISBN 13 : 3319925253
Total Pages : 225 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Fuzzy and Multi-Level Decision Making: Soft Computing Approaches by : Chi-Bin Cheng

Download or read book Fuzzy and Multi-Level Decision Making: Soft Computing Approaches written by Chi-Bin Cheng and published by Springer. This book was released on 2018-12-14 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive overview of cutting-edge approaches for decision-making in hierarchical organizations. It presents soft-computing-based techniques, including fuzzy sets, neural networks, genetic algorithms and particle swarm optimization, and shows how these approaches can be effectively used to deal with problems typical of this kind of organization. After introducing the main classical approaches applied to multiple-level programming, the book describes a set of soft-computing techniques, demonstrating their advantages in providing more efficient solutions to hierarchical decision-making problems compared to the classical methods. Based on the book Fuzzy and Multi-Level Decision Making (Springer, 2001) by Lee E.S and Shih, H., this second edition has been expanded to include the most recent findings and methods and a broader spectrum of soft computing approaches. All the algorithms are presented in detail, together with a wealth of practical examples and solutions to real-world problems, providing students, researchers and professionals with a timely, practice-oriented reference guide to the area of interactive fuzzy decision making, multi-level programming and hierarchical optimization.

Fuzzy and Multi-Level Decision Making

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Publisher : Springer Science & Business Media
ISBN 13 : 1447106830
Total Pages : 199 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Fuzzy and Multi-Level Decision Making by : E. Stanley Lee

Download or read book Fuzzy and Multi-Level Decision Making written by E. Stanley Lee and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managerial Decisions in hierarchy organizations, such as the various manufacturing and service companies, are difficult to formalize and even more difficult to optimize. By exploring the typical fuzziness, vagueness, or the "not-well-defined" nature of such organizations, this book presents the first comprehensive treatment of this difficult and practically important problem. The advantages of the proposed fuzzy interactive approach are that it significantly reduces computational requirements. Equally, the representation of the system is made more realistic through the recognition of the inherent fuzziness of such large organizations. Both the multi-ploy and the game-like decision making processes, also known as multi-level programming and the fuzzy interactive approach, are discussed in detail. The emphasis is on numerical algorithms and numerous examples are solved and compared. The concepts of fuzzy set and fuzzy linguistic representation, which form an integral part of any managerial decision, are also discussed.

Fuzzy Multiple Objective Decision Making

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Publisher : CRC Press
ISBN 13 : 1466554622
Total Pages : 317 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Fuzzy Multiple Objective Decision Making by : Gwo-Hshiung Tzeng

Download or read book Fuzzy Multiple Objective Decision Making written by Gwo-Hshiung Tzeng and published by CRC Press. This book was released on 2016-04-19 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-objective programming (MOP) can simultaneously optimize multi-objectives in mathematical programming models, but the optimization of multi-objectives triggers the issue of Pareto solutions and complicates the derived answers. To address these problems, researchers often incorporate the concepts of fuzzy sets and evolutionary algorithms into M

BI-LEVEL, MULTI –LEVEL MULTIPLE CRITERIA DECISION MAKING AND TOPSIS APPROACHTHEORY, APPLICATIONS AND SOFTWARE: A LITERATURE REVIEW (2005-2015)

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Author :
Publisher : Infinite Study
ISBN 13 :
Total Pages : 17 pages
Book Rating : 4./5 ( download)

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Book Synopsis BI-LEVEL, MULTI –LEVEL MULTIPLE CRITERIA DECISION MAKING AND TOPSIS APPROACHTHEORY, APPLICATIONS AND SOFTWARE: A LITERATURE REVIEW (2005-2015) by : Tarek H. M. Abou-El-Enien

Download or read book BI-LEVEL, MULTI –LEVEL MULTIPLE CRITERIA DECISION MAKING AND TOPSIS APPROACHTHEORY, APPLICATIONS AND SOFTWARE: A LITERATURE REVIEW (2005-2015) written by Tarek H. M. Abou-El-Enien and published by Infinite Study. This book was released on with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper presents a literature review on the theory, applications and software of Bi-level, Multi –Level Multiple Criteria Decision Making and TOPSIS (Technique for Order Preference by Similarity Ideal Solution) Approach.

A Handbook on Multi-Attribute Decision-Making Methods

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Publisher : John Wiley & Sons
ISBN 13 : 1119563496
Total Pages : 192 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis A Handbook on Multi-Attribute Decision-Making Methods by : Omid Bozorg-Haddad

Download or read book A Handbook on Multi-Attribute Decision-Making Methods written by Omid Bozorg-Haddad and published by John Wiley & Sons. This book was released on 2021-04-06 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clear and effective instruction on MADM methods for students, researchers, and practitioners. A Handbook on Multi-Attribute Decision-Making Methods describes multi-attribute decision-making (MADM) methods and provides step-by-step guidelines for applying them. The authors describe the most important MADM methods and provide an assessment of their performance in solving problems across disciplines. After offering an overview of decision-making and its fundamental concepts, this book covers 20 leading MADM methods and contains an appendix on weight assignment methods. Chapters are arranged with optimal learning in mind, so you can easily engage with the content found in each chapter. Dedicated readers may go through the entire book to gain a deep understanding of MADM methods and their theoretical foundation, and others may choose to review only specific chapters. Each standalone chapter contains a brief description of prerequisite materials, methods, and mathematical concepts needed to cover its content, so you will not face any difficulty understanding single chapters. Each chapter: Describes, step-by-step, a specific MADM method, or in some cases a family of methods Contains a thorough literature review for each MADM method, supported with numerous examples of the method's implementation in various fields Provides a detailed yet concise description of each method's theoretical foundation Maps each method's philosophical basis to its corresponding mathematical framework Demonstrates how to implement each MADM method to real-world problems in a variety of disciplines In MADM methods, stakeholders' objectives are expressible through a set of often conflicting criteria, making this family of decision-making approaches relevant to a wide range of situations. A Handbook on Multi-Attribute Decision-Making Methods compiles and explains the most important methodologies in a clear and systematic manner, perfect for students and professionals whose work involves operations research and decision making.

Algorithms for Decision Making

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Publisher : MIT Press
ISBN 13 : 0262370239
Total Pages : 701 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Algorithms for Decision Making by : Mykel J. Kochenderfer

Download or read book Algorithms for Decision Making written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2022-08-16 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.

Multiple Criteria Decision Making

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Publisher : World Scientific
ISBN 13 : 9814335584
Total Pages : 210 pages
Book Rating : 4.8/5 (143 download)

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Book Synopsis Multiple Criteria Decision Making by : M. Murat K”ksalan

Download or read book Multiple Criteria Decision Making written by M. Murat K”ksalan and published by World Scientific. This book was released on 2011 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple Criteria Decision Making (MCDM) is all about making choices in the presence of multiple conflicting criteria. MCDM has become one of the most important and fastest growing subfields of Operations Research/Management Science. As modern MCDM started to emerge about 50 years ago, it is now a good time to take stock of developments. This book aims to present an informal, nontechnical history of MCDM, supplemented with many pictures. It covers the major developments in MCDM, from early history until now. It also covers fascinating discoveries by Nobel Laureates and other prominent scholars.The book begins with the early history of MCDM, which covers the roots of MCDM through the 1960s. It proceeds to give a decade-by-decade account of major developments in the field starting from the 1970s until now. Written in a simple and accessible manner, this book will be of interest to students, academics, and professionals in the field of decision sciences.

Multi-Agent-Based Simulation XXII

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Publisher : Springer Nature
ISBN 13 : 3030945480
Total Pages : 203 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Multi-Agent-Based Simulation XXII by : Koen H. Van Dam

Download or read book Multi-Agent-Based Simulation XXII written by Koen H. Van Dam and published by Springer Nature. This book was released on 2022-01-15 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 21st International Workshop on Multi-Agent-Based Simulation, MABS 2021, held in May 2021 as part of AAMAS 2021. The conference was held virtually due to COVID 19 pandemic. The 14 revised full papers included in this volume were carefully selected from 23 submissions. The workshop focused on finding efficient solutions to model complex social systems, in such areas as economics, management, organizational and social sciences in general. In all these areas, agent theories, metaphors, models, analysis, experimental designs, empirical studies, and methodological principles, all converge into simulation as a way of achieving explanations and predictions, exploration and testing of hypotheses, better designs and systems and providing decision-support in a wide range of applications.

Multi-Criteria Decision Making

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Publisher : Springer Nature
ISBN 13 : 9813347457
Total Pages : 393 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Multi-Criteria Decision Making by : Jitesh J. Thakkar

Download or read book Multi-Criteria Decision Making written by Jitesh J. Thakkar and published by Springer Nature. This book was released on 2021-02-08 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: p="" The book covers the domain of multi-criteria decision making, a topic which has gained significant attention of researchers and practitioners spanning a variety of disciplines for enhancing their decision making in real life situation. The topics in this volume help readers understand the techniques in the model building and analysis stage. The chapters cover a variety of techniques and their applications for interesting problems. This book will be of interest to readers in diverse disciplines such as engineering, business, management, humanities, psychology and law. ^

Multiple-Criteria Decision Making

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Publisher : Springer Science & Business Media
ISBN 13 : 1468483951
Total Pages : 396 pages
Book Rating : 4.4/5 (684 download)

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Book Synopsis Multiple-Criteria Decision Making by : Po-Lung Yu

Download or read book Multiple-Criteria Decision Making written by Po-Lung Yu and published by Springer Science & Business Media. This book was released on 2013-04-09 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an outgrowth of formal graduate courses in multiple-criteria decision making (MCDM) that the author has taught at the University of Rochester, University of Texas at Austin, and University of Kansas since 1972. The purpose is, on one hand, to offer the reader an integral and systematic view of various concepts and techniques in MCDM at an "introductory" level, and, on the other hand, to provide a basic conception of the human decision mechanism, which may improve our ability to apply the techniques we have learned and may broaden our llJ.ind for modeling human decision making. The book is written with a goal in mind that the reader should be able to assimilate and benefit from most of the concepts in the book if he has the mathematical maturity equivalent to a course in operations research or optimiz ation theory. Good training in linear and nonlinear programming is sufficient to digest, perhaps easily, most of the concepts in the book.