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Decision Sciences

Author: Raghu Nandan Sengupta

Publisher: CRC Press

Published: 2016-11-30

Total Pages: 901

ISBN-13: 1351727400

This handbook is an endeavour to cover many current, relevant, and essential topics related to decision sciences in a scientific manner. Using this handbook, graduate students, researchers, as well as practitioners from engineering, statistics, sociology, economics, etc. will find a new and refreshing paradigm shift as to how these topics can be put to use beneficially. Starting from the basics to advanced concepts, authors hope to make the readers well aware of the different theoretical and practical ideas, which are the focus of study in decision sciences nowadays. It includes an excellent bibliography/reference/journal list, information about a variety of datasets, illustrated pseudo-codes, and discussion of future trends in research. Covering topics ranging from optimization, networks and games, multi-objective optimization, inventory theory, statistical methods, artificial neural networks, times series analysis, simulation modeling, decision support system, data envelopment analysis, queueing theory, etc., this reference book is an attempt to make this area more meaningful for varied readers. Noteworthy features of this handbook are in-depth coverage of different topics, solved practical examples, unique datasets for a variety of examples in the areas of decision sciences, in-depth analysis of problems through colored charts, 3D diagrams, and discussions about software.

Handbook of Health Decision Science

Author: Michael A. Diefenbach

Publisher: Springer

Published: 2016-09-26

Total Pages: 377

ISBN-13: 1493934864

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This comprehensive reference delves into the complex process of medical decision making—both the nuts-and-bolts access and insurance issues that guide choices and the cognitive and affective factors that can make patients decide against their best interests. Wide-ranging coverage offers a robust evidence base for understanding decision making across the lifespan, among family members, in the context of evolving healthcare systems, and in the face of life-changing diagnosis. The section on applied decision making reviews the effectiveness of decision-making tools in healthcare, featuring real-world examples and guidelines for tailored communications with patients. Throughout, contributors spotlight the practical importance of the field and the pressing need to strengthen health decision-making skills on both sides of the clinician/client dyad. Among the Handbook’s topics: From laboratory to clinic and back: connecting neuroeconomic and clinical mea sures of decision-making dysfunctions. Strategies to promote the maintenance of behavior change: moving from theoretical principles to practices. Shared decision making and the patient-provider relationship. Overcoming the many pitfalls of communicating risk. Evidence-based medicine and decision-making policy. The internet, social media, and health decision making. The Handbook of Health Decision Science will interest a wide span of professionals, among them health and clinical psychologists, behavioral researchers, health policymakers, and sociologists.

Decision Sciences for COVID-19

Author: Said Ali Hassan

Publisher: Springer Nature

Published: 2022-02-28

Total Pages: 475

ISBN-13: 3030870197

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This book presents best practices involving applications of decision sciences, business tactics and behavioral sciences for COVID-19. Addressing concrete problems in these vital fields, it focuses on theoretical and methodological investigations of managerial decisions that drive production and service enterprises’ productivity and success. Moreover, it presents optimization techniques and tools that can also be adopted for other applications in various research areas after a thorough analysis of the specific problem. The book is intended for researchers and practitioners seeking optimum solutions to real-life problems in various application areas concerning COVID-19, helping them make scientifically founded decisions.

Decision Science for Future Earth

Author: Tetsukazu Yahara

Publisher: Springer Nature

Published: 2021-01-29

Total Pages: 251

ISBN-13: 9811586322

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This open access book provides a theoretical framework and case studies on decision science for regional sustainability by integrating the natural and social sciences. The cases discussed include solution-oriented transdisciplinary studies on the environment, disasters, health, governance and human cooperation. Based on these case studies and comprehensive reviews of relevant works, including lessons learned from past failures for predictable surprises and successes in adaptive co-management, the book provides the reader with new perspectives on how we can co-design collaborative projects with various conflicts of interest and how we can transform our society for a sustainable future. The book makes a valuable contribution to the global research initiative Future Earth, promoting transdisciplinary studies to bridge the gap between science and society in knowledge generation processes and supporting efforts to achieve the UN’s Sustainable Development Goals (SDGs). Compared to other publications on transdisciplinary studies, this book is unique in that evolutionary biology is used as an integrator for various areas related to human decision-making, and approaches social changes as processes of adaptive learning and evolution. Given its scope, the book is highly recommended to all readers seeking an integrated overview of human decision-making in the context of social transformation.

Decision Sciences

Author: Paul R. Kleindorfer

Publisher: Cambridge University Press

Published: 1993-08-27

Total Pages: 484

ISBN-13: 9780521338127

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The long-awaited textbook on the developing field of decision sciences. This book compares different types of decision making and emphasises the link between problem finding and problem solving.

Thinking

Author: John Brockman

Publisher: Harper Collins

Published: 2013-10-29

Total Pages: 294

ISBN-13: 0062258567

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Unlock your mind. From the bestselling authors of Thinking, Fast and Slow; The Black Swan; and Stumbling on Happiness comes a cutting-edge exploration of the mysteries of rational thought, decision-making, intuition, morality, willpower, problem-solving, prediction, forecasting, unconscious behavior, and beyond. Edited by John Brockman, publisher of Edge.org ("The world's smartest website"—The Guardian), Thinking presents original ideas by today's leading psychologists, neuroscientists, and philosophers who are radically expanding our understanding of human thought. Contributors include: Daniel Kahneman on the power (and pitfalls) of human intuition and "unconscious" thinking Daniel Gilbert on desire, prediction, and why getting what we want doesn't always make us happy Nassim Nicholas Taleb on the limitations of statistics in guiding decision-making Vilayanur Ramachandran on the scientific underpinnings of human nature Simon Baron-Cohen on the startling effects of testosterone on the brain Daniel C. Dennett on decoding the architecture of the "normal" human mind Sarah-Jayne Blakemore on mental disorders and the crucial developmental phase of adolescence Jonathan Haidt, Sam Harris, and Roy Baumeister on the science of morality, ethics, and the emerging synthesis of evolutionary and biological thinking Gerd Gigerenzer on rationality and what informs our choices

Strategic Management, Decision Theory, and Decision Science

Author: Bikas Kumar Sinha

Publisher: Springer Nature

Published: 2021-08-31

Total Pages: 280

ISBN-13: 9811613680

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This book contains international perspectives that unifies the themes of strategic management, decision theory, and data science. It contains thought-provoking presentations of case studies backed by adequate analysis adding significance to the discussions. Most of the decision-making models in use do take due advantage of collection and processing of relevant data using appropriate analytics oriented to provide inputs into effective decision-making. The book showcases applications in diverse fields including banking and insurance, portfolio management, inventory analysis, performance assessment of comparable economic agents, managing utilities in a health-care facility, reducing traffic snarls on highways, monitoring achievement of some of the sustainable development goals in a country or state, and similar other areas that showcase policy implications. It holds immense value for researchers as well as professionals responsible for organizational decisions.

Mathematics of the Decision Sciences

Author: George Bernard Dantzig

Publisher: American Mathematical Soc.

Published: 1968-12-31

Total Pages: 444

ISBN-13: 9780821896815

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Proceedings of the Seventh International Forum on Decision Sciences

Author: Xiang Li

Publisher: Springer

Published: 2020-11-21

Total Pages: 209

ISBN-13: 9789811557194

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These proceedings focus on selected aspects of the current and upcoming trends in transportation, logistics, supply chain management, and decision sciences. In detail the included scientific papers analyze the problem of Decision Making under Uncertainty, Stochastic Optimization, Transportation, Logistics and Intelligent Business. The variety of the papers delivers added value for both scholars and practitioners. This book is the documentation of the symposium “The Seventh International Forum on Decision Sciences”, which took place in Windsor, Canada.

Science and Decisions

Author: National Research Council

Publisher: National Academies Press

Published: 2009-03-24

Total Pages: 422

ISBN-13: 0309120462

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Risk assessment has become a dominant public policy tool for making choices, based on limited resources, to protect public health and the environment. It has been instrumental to the mission of the U.S. Environmental Protection Agency (EPA) as well as other federal agencies in evaluating public health concerns, informing regulatory and technological decisions, prioritizing research needs and funding, and in developing approaches for cost-benefit analysis. However, risk assessment is at a crossroads. Despite advances in the field, risk assessment faces a number of significant challenges including lengthy delays in making complex decisions; lack of data leading to significant uncertainty in risk assessments; and many chemicals in the marketplace that have not been evaluated and emerging agents requiring assessment. Science and Decisions makes practical scientific and technical recommendations to address these challenges. This book is a complement to the widely used 1983 National Academies book, Risk Assessment in the Federal Government (also known as the Red Book). The earlier book established a framework for the concepts and conduct of risk assessment that has been adopted by numerous expert committees, regulatory agencies, and public health institutions. The new book embeds these concepts within a broader framework for risk-based decision-making. Together, these are essential references for those working in the regulatory and public health fields.