Sensitivity Analysis In Multi Objective Decision Making


Sensitivity Analysis In Multi Objective Decision Making
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Sensitivity Analysis In Multi Objective Decision Making


Sensitivity Analysis In Multi Objective Decision Making
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Author : David Rios Insua
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29

Sensitivity Analysis In Multi Objective Decision Making written by David Rios Insua and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Business & Economics categories.


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.



Strategic Decision Making


Strategic Decision Making
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Author : Craig W. Kirkwood
language : en
Publisher: Brooks/Cole
Release Date : 1997

Strategic Decision Making written by Craig W. Kirkwood and has been published by Brooks/Cole this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Business & Economics categories.


This work on strategic decision making focuses on multi-objective decision analysis with spreadsheets



Multi Objective Decision Making Methods For Transportation


Multi Objective Decision Making Methods For Transportation
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Author : Ernest R. Alexander
language : en
Publisher:
Release Date : 1985

Multi Objective Decision Making Methods For Transportation written by Ernest R. Alexander and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Transportation categories.




Strategic Approach In Multi Criteria Decision Making


Strategic Approach In Multi Criteria Decision Making
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Author : Nolberto Munier
language : en
Publisher: Springer
Release Date : 2019-01-29

Strategic Approach In Multi Criteria Decision Making written by Nolberto Munier and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Business & Economics categories.


This book examines multiple criteria decision making (MCDM) and presents the Sequential Interactive Modelling for Urban Systems (SIMUS) as a method to be used for strategic decision making. It emphasizes the necessity to take into account aspects related to real world scenarios and incorporating possible real life aspects for modelling. The book also highlights the use of sensitivity analysis and presents a method for using criteria marginal values instead of weights, which permits the drawing of curves that depicts the variations of the objective function due to variations of these marginal values. In this way it also gives quantitative values of the objective function allowing stakeholders to perform a comprehensive risk analysis for a solution when it is affected by exogenous variables. Strategic Approach in Multi-Criteria Decision Making: A Practical Guide for Complex Scenarios is divided into three parts. Part 1 is devoted to exploring the history and development of the discipline and the way it is currently used. It highlights drawbacks and problems that scholars have identified in different MCDM methods and techniques. Part 2 addresses best practices to assure quality MCDM process. Part 3 introduces the concept of Linear Programming and the proposed SIMUS method as techniques to deal with MCDM. It also includes case studies in order to help document and illustrate difficult concepts, especially related to demands from a scenario and also in their modelling. The decision making process can be a complex task, especially with multi-criteria problems. With large amounts of information, it can be an extremely difficult to make a rational decision, due to the number of intervening variables, their interrelationships, potential solutions that might exist, diverse objectives envisioned for a project, etc. The SIMUS method has been designed to offer a strategy to help organize, classify, and evaluate this information effectively.



Multiobjective Decision Support For Environmental Management


Multiobjective Decision Support For Environmental Management
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Author : R. Janssen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Multiobjective Decision Support For Environmental Management written by R. Janssen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.


Multiple criteria decision making is a major and rapidly growing field of research. Methods resulting from this field of research are used in this book to develop a Multiobjective Decision Support Systems (MODSS) for environmental management. The primary focus of the book is therefore on the issues and practicalities that arise when these methods are applied to support decisions on environmental problems. Most methods included in this book are derived from the literature on multicriteria decision making, decision anlysis and operations research. Concepts developed in management science are used to describe environmental decision processes and to define the functions of decision support. The author's work on MODSS has resulted in the development of a decision support package, called DEFINITE (DEcisions on a FINITE set of alternatives). A demonstration version of this programme is included with the book. This Demo Disk can be run on a MS-DOS compatible personal computer (version 2.0 or higher) having a 3,5 inch, 720 Kb disk drive and 640 Kb available RAM.



Strategic Approach In Multi Criteria Decision Making


Strategic Approach In Multi Criteria Decision Making
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Author : Nolberto Munier
language : en
Publisher: Springer Nature
Release Date :

Strategic Approach In Multi Criteria Decision Making written by Nolberto Munier and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Multicriteria Decision Making


Multicriteria Decision Making
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Author : Tomas Gal
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

Multicriteria Decision Making written by Tomas Gal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Business & Economics categories.


At a practical level, mathematical programming under multiple objectives has emerged as a powerful tool to assist in the process of searching for decisions which best satisfy a multitude of conflicting objectives, and there are a number of distinct methodologies for multicriteria decision-making problems that exist. These methodologies can be categorized in a variety of ways, such as form of model (e.g. linear, non-linear, stochastic), characteristics of the decision space (e.g. finite or infinite), or solution process (e.g. prior specification of preferences or interactive). Scientists from a variety of disciplines (mathematics, economics and psychology) have contributed to the development of the field of Multicriteria Decision Making (MCDM) (or Multicriteria Decision Analysis (MCDA), Multiattribute Decision Making (MADM), Multiobjective Decision Making (MODM), etc.) over the past 30 years, helping to establish MCDM as an important part of management science. MCDM has become a central component of studies in management science, economics and industrial engineering in many universities worldwide. Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory and Applications aims to bring together `state-of-the-art' reviews and the most recent advances by leading experts on the fundamental theories, methodologies and applications of MCDM. This is aimed at graduate students and researchers in mathematics, economics, management and engineering, as well as at practicing management scientists who wish to better understand the principles of this new and fast developing field.



Multi Criteria Decision Making Methods


Multi Criteria Decision Making Methods
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Author : Evangelos Triantaphyllou
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

Multi Criteria Decision Making Methods written by Evangelos Triantaphyllou and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Business & Economics categories.


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.



Value Added Decision Making For Managers


Value Added Decision Making For Managers
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Author : Kenneth Chelst
language : en
Publisher: CRC Press
Release Date : 2011-10-05

Value Added Decision Making For Managers written by Kenneth Chelst and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-05 with Business & Economics categories.


Developed from the authors’ longstanding course on decision and risk analysis, Value-Added Decision Making for Managers explores the important interaction between decisions and management action and clarifies the barriers to rational decision making. The authors analyze strengths and weaknesses of the best alternatives, enabling decision makers to improve on these alternatives by adding value and reducing risk. The core of the text addresses decisions that involve selecting the best alternative from diverse choices. The decisions include buying a car, picking a supplier or home contractor, selecting a technology, picking a location for a manufacturing plant or sports stadium, hiring an employee or selecting among job offers, deciding on the size of a sales force, making a late design change, and sourcing to emerging markets. The book also covers more complex decisions arising in negotiations, strategy, and ethics that involve multiple dimensions simultaneously. Numerous activities interspersed throughout the text highlight real-world situations, helping readers see how the concepts presented can be used in their own work environment or personal life. Each chapter also includes discussion questions and references. Web Resource The book’s website at http://ise.wayne.edu/research/decision.php offers tutorials of Logical Decisions software for multi-objective decisions and Precision Tree software for probabilistic decisions. Directions for downloading student versions of the DecisionTools Suite and Logical Decisions software can be found in the appendices. Password-protected PowerPoint presentations for each chapter and solutions to all of the numeric examples are available for instructors.



Advances In Sensitivity Analysis And Parametric Programming


Advances In Sensitivity Analysis And Parametric Programming
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Author : Tomas Gal
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Advances In Sensitivity Analysis And Parametric Programming written by Tomas Gal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.


The standard view of Operations Research/Management Science (OR/MS) dichotomizes the field into deterministic and probabilistic (nondeterministic, stochastic) subfields. This division can be seen by reading the contents page of just about any OR/MS textbook. The mathematical models that help to define OR/MS are usually presented in terms of one subfield or the other. This separation comes about somewhat artificially: academic courses are conveniently subdivided with respect to prerequisites; an initial overview of OR/MS can be presented without requiring knowledge of probability and statistics; text books are conveniently divided into two related semester courses, with deterministic models coming first; academics tend to specialize in one subfield or the other; and practitioners also tend to be expert in a single subfield. But, no matter who is involved in an OR/MS modeling situation (deterministic or probabilistic - academic or practitioner), it is clear that a proper and correct treatment of any problem situation is accomplished only when the analysis cuts across this dichotomy.