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830,316 result(s) for "Decision making."
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Financial decision aid using multiple criteria : recent models and applications
This volume highlights recent applications of multiple-criteria decision-making (MCDM) models in the field of finance. Covering a wide range of MCDM approaches, including multiobjective optimization, goal programming, value-based models, outranking techniques, and fuzzy models, it provides researchers and practitioners with a set of MCDM methodologies and empirical results in areas such as portfolio management, investment appraisal, banking, and corporate finance, among others. The book addresses issues related to problem structuring and modeling, solution techniques, comparative analyses, as well as combinations of MCDM models with other analytical methodologies.
Shared decision‐making for older adults with cardiovascular disease
Shared decision‐making is appropriate for clinical decisions involving multiple reasonable options, which occur frequently in the cardiovascular care of older adults. The process includes the communication of relevant factual information between the patient and the clinician, elicitation of patient preferences, and a mutual agreement on the best course of action to meet the patient's personal goals. For older adults, there are common challenges and considerations with regard to shared decision‐making, some of which (eg, cognitive impairment) may be biologically linked to cardiovascular disease. There are tools designed to facilitate the shared decision‐making process, known as decision aids, which are broadly effective although have shortcomings when applied to older adults. Novel approaches in clinical research and health systems changes will go some way toward improving shared decision‐making for older adults, but the greatest scope for improvement may be within the grass roots areas of communication skills, interdisciplinary teamwork, and simply asking our patients what matters most.
Willful : how we choose what we do
A revelatory alternative to the standard economic models of human behavior that proposes an exciting new way to understand decision-making. Why do we do the things we do? The classical view of economics is that we are rational individuals, making decisions with the intention of maximizing our preferences. Behaviorists, on the other hand, see us as relying on mental shortcuts and conforming to preexisting biases. Richard Robb argues that neither explanation accounts for those things that we do for their own sake, and without understanding these sorts of actions, our picture of decision-making is at best incomplete. Robb explains how these choices made seemingly without reason belong to a realm of behavior he identifies as \"for-itself.\" A provocative combination of philosophy and economics that offers a key to many of our quixotic choices, this groundbreaking volume provides a new way to understand everything from how we formulate our desire to work to how we manage daily interactions.
Blind spots
When confronted with an ethical dilemma, most of us like to think we would stand up for our principles. But we are not as ethical as we think we are. In Blind Spots, leading business ethicists Max Bazerman and Ann Tenbrunsel examine the ways we overestimate our ability to do what is right and how we act unethically without meaning to. From the collapse of Enron and corruption in the tobacco industry, to sales of the defective Ford Pinto and the downfall of Bernard Madoff, the authors investigate the nature of ethical failures in the business world and beyond, and illustrate how we can become more ethical, bridging the gap between who we are and who we want to be.
Multi-criteria Decision Analysis
This book presents an introduction to MCDA followed by more detailed chapters about each of the leading methods used in this field. Comparison of methods and software is also featured to enable readers to choose the most appropriate method needed in their research. Worked examples as well as the software featured in the book are available on an accompanying website.
Making hard decisions with DecisionTools
Teaching the fundamental ideas of decision analysis, this text avoids an overly technical explanation of the mathematics used in management science. This new version incorporates and implements the powerful Decision Tools Suite, a toolkit for risk and decision analysis.
A Handbook on Multi-Attribute Decision-Making Methods
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 methodsContains a thorough literature review for each MADM method, supported with numerous examples of the method's implementation in various fieldsProvides a detailed yet concise description of each method's theoretical foundationMaps each method's philosophical basis to its corresponding mathematical frameworkDemonstrates how to implement each MADM method to real-world problems in a variety of disciplinesIn 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.
Applications of management science
'Applications of Management Science' focuses on the application of management science to multiple criteria decision making, data envelopment analysis, and managerial applications.
Fuzzy Multicriteria Decision-Making
Fuzzy Multicriteria Decision-Making: Models, Algorithms and Applicationsaddresses theoretical and practical gaps in considering uncertainty and multicriteria factors encountered in the design, planning, and control of complex systems. Including all prerequisite knowledge and augmenting some parts with a step-by-step explanation of more advanced concepts, the authors provide a systematic and comprehensive presentation of the concepts, design methodology, and detailed algorithms. These are supported by many numeric illustrations and a number of application scenarios to motivate the reader and make some abstract concepts more tangible.Fuzzy Multicriteria Decision-Making: Models, Algorithms and Applicationswill appeal to a wide audience of researchers and practitioners in disciplines where decision-making is paramount, including various branches of engineering, operations research, economics and management; it will also be of interest to graduate students and senior undergraduate students in courses such as decision making, management, risk management, operations research, numerical methods, and knowledge-based systems.