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Decision Trees with Hypotheses (Synthesis Lectures on Intelligent Technologies)
by Beata Zielosko Igor Chikalov Shahid Hussain Mikhail Moshkov Mohammad AzadIn this book, the concept of a hypothesis about the values of all attributes is added to the standard decision tree model, considered, in particular, in test theory and rough set theory. This extension allows us to use the analog of equivalence queries from exact learning and explore decision trees that are based on various combinations of attributes, hypotheses, and proper hypotheses (analog of proper equivalence queries). The two main goals of this book are (i) to provide tools for the experimental and theoretical study of decision trees with hypotheses and (ii) to compare these decision trees with conventional decision trees that use only queries, each based on a single attribute. Both experimental and theoretical results show that decision trees with hypotheses can have less complexity than conventional decision trees. These results open up some prospects for using decision trees with hypotheses as a means of knowledge representation and algorithms for computing Boolean functions. The obtained theoretical results and tools for studying decision trees with hypotheses are useful for researchers using decision trees and rules in data analysis. This book can also be used as the basis for graduate courses.
Decision and Game Theory for Security: 9th International Conference, GameSec 2018, Seattle, WA, USA, October 29–31, 2018, Proceedings (Lecture Notes in Computer Science #11199)
by Tamer Başar Linda Bushnell Radha PoovendranThe 28 revised full papers presented together with 8 short papers were carefully reviewed and selected from 44 submissions.Among the topical areas covered were: use of game theory; control theory; and mechanism design for security and privacy; decision making for cybersecurity and security requirements engineering; security and privacy for the Internet-of-Things; cyber-physical systems; cloud computing; resilient control systems, and critical infrastructure; pricing; economic incentives; security investments, and cyber insurance for dependable and secure systems; risk assessment and security risk management; security and privacy of wireless and mobile communications, including user location privacy; sociotechnological and behavioral approaches to security; deceptive technologies in cybersecurity and privacy; empirical and experimental studies with game, control, or optimization theory-based analysis for security and privacy; and adversarial machine learning and crowdsourcing, and the role of artificial intelligence in system security.
Decision-Driven Analytics: Leveraging Human Intelligence to Unlock the Power of Data
by Bart De Langhe Stefano PuntoniCompanies have more data at their fingertips than ever before. Yet, studies show that many executives and organizations fail to extract real value from it.Challenging the conventional wisdom of data-driven decision-making, marketing professors and behavioral scientists Bart De Langhe and Stefano Puntoni argue that many analytics efforts flounder because data analyses are disconnected from the decisions to be made. In their important book, they offer a new approach they call decision-driven analytics. Counterintuitively, they argue that the key to making good decisions with data is to start by putting data in the background.Drawing from their own research and teaching, as well as real-world business cases, De Langhe and Puntoni offer four pillars of decision-driven analytics and guide you around common mistakes that have held back many organizations from using data for impact.In Decision-Driven Analytics, you will learn how to:+ Avoid common pitfalls in data-driven decision-making;+ Close the gap between managers and decision-making on one side, and data scientists and data analytics on the other;+ Enhance the impact of data analytics on business outcomes;+ Think without data to make better decisions;+ Prepare for artificial intelligence’s impact on data analytics; and+ Evaluate the costs and benefits of decision-driven analytics.A must-read for anyone who wants to harness the power of data for competitive advantage, Decision-Driven Analytics will equip you with the skills and tools you need to more effectively use data for business outcomes and to make better decisions in today’s complex and data-rich world.
Decision-Making Analyses with Thermodynamic Parameters and Hesitant Fuzzy Linguistic Preference Relations (Studies in Fuzziness and Soft Computing #409)
by Zeshui Xu Peijia RenThe book introduces readers to some of the latest advances in and approaches to decision-making methods based on thermodynamic characters and hesitant fuzzy linguistic preference relations. By investigating the decision-making methods with thermodynamic parameters based on different information representatives, the book offers readers a novel perspective for solving problems under uncertainty. By exploring the consistency and consensus of hesitant fuzzy linguistic preference relations, the book gives readers efficient ways for preference analysis under uncertainty, chiefly intended for researchers and practitioners working in operations research, multi-attribute decision making, preference analysis, etc. The book can also be used as supplementary material for postgraduate and senior-year undergraduate students of the relevant professional institutions.
Decision-Making Exercise (A)
by David A. Garvin Michael A. RobertoProvides questionnaires so students can compare their experiences with different decison-making processes. Students read "Growing Pains," a Harvard Business Review (HBR) case study, and then work in teams to come up with recommendations using a consensus approach to decison making. The next day using Decision-Making Exercise (B) and (C) and "Case of the Unhealthy Hospital," another HBR case study, and working in the same teams, use either a dialectical inquiry or devil's advocacy approach to decision making.
Decision-Making Exercise (B)
by David A. Garvin Michael A. RobertoProvides questionnaires so students can compare their experiences with different decison-making processes. Students read "Growing Pains," a Harvard Business Review (HBR) case study, and then work in teams to come up with recommendations using a consensus approach to decison making. The next day they use Decision-Making Exercise (B) and (C) and "Case of the Unhealthy Hospital," another HBR case study and, working in the same teams, use either a dialectical inquiry or devil's advocacy approach to decision making.
Decision-Making Exercise (C)
by David A. Garvin Michael A. RobertoProvides questionnaires so students can compare their experiences with different decison-making processes. Students read "Growing Pains," a Harvard Business Review (HBR) case study, and then work in teams to come up with recommendations using a consensus approach to decison making. The next day they use Decision-Making Exercise (B) and (C) and "Case of the Unhealthy Hospital," another HBR case study and, working in the same teams, use either a dialectical inquiry or devil's advocacy approach to decision making.
Decision-Making Groups and Teams: An Information Exchange Perspective (Routledge Advances in Management and Business Studies)
by Steven SilverIn recent years, there has been increasing implementation of group and team decision-making within organizations, much of it managed electronically, between members of what are "virtual" groups or teams. Recent research into effective team implementation emphasizes "trust" as an intermediary process, and trust must be a part of any account of team decision-making. This book provides an integrated framework that represents process in decision-making by interactive groups and teams. This framework furthers both our understanding of process and our capabilities in implementation, based on an account of group decision-making that differentiates the information types contributing to decision quality and relates them to process in interactive groups and teams. Author Steve Silver emphasizes the social structure that is inherent in the interaction of decision-makers as group or team members and effects on the information they exchange.
Decision-Making Under Stress: Emerging Themes and Applications
by Lynne Martin Eduardo Salas Rhona Flin Michael StraubIn our high technology society, there is a growing demand for a better understanding of decision making in high risk situations in order to improve selection, training and operational performance. Decision Making Under Stress presents a state-of-the-art review of psychological theory, in research and practice, on decision making in high pressure and emergency situations. It focuses on the experienced decision makers who deal with such risks, principally on flight decks, at civil emergencies, in industrial settings and military environments. The 29 chapters cover a wide range of perspectives and applications from aviation, military, industry and the emergency services. The authors, all international invited experts in their field, are based in research centers and universities from Europe, North America and Australia. Their common interest is in the theories and methods of a new research domain called NDM (naturalistic decision making). This volume comprises the edited contributions to the Third International NDM conference, sponsored by the US Army Research Institute and the US Naval Air Warfare Center, which was held in Aberdeen, Scotland in September 1996. The NDM researchers are interested in decision making in situations characterised by high risk, time pressure, uncertain goals, ambiguous information and teamwork. The extent to which the NDM approach can explain and predict human performance in such settings is a central theme, discussed with many practical examples and applications. This book is essential reading for applied psychologists, pilots, emergency commanders, military officers, high hazard managers, safety and emergency response professionals.
Decision-Making for Supply Chain Integration
by Fiona Lettice Olatunde Amoo Durowoju Hing Kai ChanEffective supply chain integration, and the tight co-ordination it creates, is an essential pre-requisite for successful supply chain management. Decision-Making for Supply Chain Integration is a practical reference on recent research in the area of supply chain integration focusing on distributed decision-making problems. Recent applications of various decision-making tools for integrating supply chains are covered including chapters focusing on: Supplier selection, pricing strategy and inventory decisions in multi-level supply chains, RFID-enabled distributed decision-making, Operational risk issues and time-critical decision-making for sensitive logistics nodes, Modelling end to end processes to improve supply chain integration, and Integrated systems to improve service delivery and optimize resource use. Decision-Making for Supply Chain Integration provides an insight into the tools and methodologies of this field with support from real-life case studies demonstrating successful application of various decision-making techniques. By covering such a range of topics in this way, Decision-Making for Supply Chain Integration is a useful reference for researchers looking to develop their knowledge or find potential new avenues of research.
Decision-Making in Committees
by Nicola Friederike MaaserPolitical and economic institutions are typically governed by committees that face the challenge to reconcile the preferences of their members. How should decision rules be designed to generate fair and sustainable agreements, for example if committee members represent groups of different sizes? This book uses game-theoretic concepts and models to address the issue of political decision-making processes. In addition to providing a survey on basic game-theoretic tools in the analysis of political decisions, the author looks at specific issues such as two-tiered voting systems or the influence of lobbyists on legislative committees, and shows how the models can be applied to real-world contexts such as the EU decision-making institutions.
Decision-Making in Design, Maintenance, Planning, and Investment of Wind Energy (International Series in Operations Research & Management Science #355)
by Daniela BorissovaThis book demonstrates how decision-making models can be applied to solve specific real-life problems, with a particular emphasis on wind energy. In a step-by-step manner, it guides the reader through decision-making, the formulation of optimization models, and the methods for solving them. After providing an overview of various models for the design of wind farms, it presents an optimization model for deciding which economy (country) to invest in and models for selecting suppliers. A dedicated chapter focuses on different models for monitoring and predictive maintenance for wind turbines (farms) due to the construction of turbine blades and vibration. It shows how combinatorial optimization models can help to make optimal decisions for one-dimensional cutting stock of blanks, their processing, and determining the optimal composition for production. Moreover, it discusses how the energy consumption balance index formed by conventional and renewable sources can be determined and presents a means of identifying the relative share of wind energy consumption among the other renewable sources. Operations research professionals, students, and decision-makers alike will find this book to be a valuable resource for tackling real-world challenges and driving sustainable advances in wind energy solutions.
Decision-Making in Management: Methods and Behavioral Tools (Contributions to Management Science)
by Kesra Nermend Małgorzata Łatuszyńska Eleftherios ThalassinosMaking important business decisions is usually a difficult and complicated task. In the modern economy where businesses have to solve increasingly complex decision-making problems, it is important to learn and use methods and techniques including the analysis of behavioral data to support decision-making in practice.This book presents various methods and solutions to problems in modern data acquisition techniques and practical aspects of decision making. In particular, it addresses such important issues as: business decision making, multi-criteria decision analysis (MCDA), multidimensional comparative analysis (MCA), decision games and data acquisition techniques for decision making (declarative techniques and cognitive neuroscience techniques). Important topics such as consumers’ rational behavior, environmental management accounting, operational research methods, neuroscience including epigenetics, DEA analysis etc., as well as case studies related to decision making in management are also included.
Decision-Making in Private Equity Firms
by Mark BroereThe decisions of private equity firms affect the development of industries and national economies, yet little is known about how these decisions are made. Mark Broere uses proprietary survey data from 136 private equity firms (venture capital and buyout) located in the US, Canada, and Europe to explore determinants and rules of their decision-making. The results exhibit new facts about their objectives, success measures, decision criteria, exit decision power and rules. A discussion in light of existing financial theory highlights, e. g. the role of reputation, and potential pitfalls in the decision-making of practitioners. The author suggests that private equity firms might improve their performance by a more careful choice of decision rules and criteria and by a more consistent application of these across varying decision types.
Decision-making Analysis and Optimization Modeling of Emergency Warnings for Major Accidents
by Wenmei Gai Yan Du Yunfeng DengThis book highlights cutting-edge research into emergency early warning management and decision-making for severe accidents. Using toxic gas leakages as examples, it puts forward new design methods for emergency early warning systems, as well as a systematic description of emergency early warning information communication mechanisms and characteristics of regional evacuation, based on a wide range of theories, including safety engineering, information engineering, communication, behaviorology and others. The book applies a range of methods, such as case analysis, questionnaire interviews, and multi-objective optimization modeling. Drawing on this basis, it subsequently proposes a multi-objective optimization modeling and algorithm for emergency path selection, together with an evacuation risk assessment method. Divided into six chapters prepared by an international team of researchers, the book addresses the design of early warning systems, communication and dissemination mechanisms of early warning information, characteristics of regional evacuation, multi-objective optimization of emergency paths, and evacuation risk assessment. The book offers an essential reference guide for engineering technicians and researchers in a wide range of fields, including emergency management, safety science and engineering, disaster relief engineering, and transportation optimization, as well as graduate students in related majors at colleges and universities.
Decision-making Strategies for Automated Driving in Urban Environments (Springer Theses)
by Antonio ArtuñedoThis book describes an effective decision-making and planning architecture for enhancing the navigation capabilities of automated vehicles in the presence of non-detailed, open-source maps. The system involves dynamically obtaining road corridors from map information and utilizing a camera-based lane detection system to update and enhance the navigable space in order to address the issues of intrinsic uncertainty and low-fidelity. An efficient and human-like local planner then determines, within a probabilistic framework, a safe motion trajectory, ensuring the continuity of the path curvature and limiting longitudinal and lateral accelerations. LiDAR-based perception is then used to identify the driving scenario, and subsequently re-plan the trajectory, leading in some cases to adjustment of the high-level route to reach the given destination. The method has been validated through extensive theoretical and experimental analyses, which are reported here in detail.
Decision-making Tools to Support Innovation: Guidelines and Case Studies
by Manon Enjolras Daniel Galvez Mauricio CamargoScientific thinking concerning the way in which we drive innovation has been widely developed in recent years. It is known that the process of innovation consists of a succession of decision-making processes that require simultaneous technical, economical, organizational and sustainable compromises. Indeed, all innovative activities in business require stakeholders to seek out the best compromise between various, often contradictory dimensions of the same problems. Through studying practical cases from various fields (e.g. energy, marketing and sustainable development), this book addresses all the stages of the innovation process, highlighting some of the main decisions that can be faced by organizations. Based on the historical research conducted at the ERPI Laboratory (University of Lorraine) in Nancy, France, this book presents six innovation practices: strategy, creativity, design, project management, human resources and capitalization of knowledge. These practices are then illustrated through examples of decision support methods' applications.
Decision-making and Radioactive Waste Disposal (Routledge Studies in Waste Management and Policy)
by Gerry Nagtzaam Andrew NewmanThe International Atomic Energy Agency estimates that nuclear power generation facilities produce about 200,000 cubic meters of low and intermediate-level waste each year. Vital medical procedures, industrial processes and basic science research also produce significant quantities of waste. All of this waste must be shielded from the population for extended periods of time. Finding suitable locations for disposal facilities is beset by two main problems: community responses to siting proposals are generally antagonistic and, as a result, governments have tended to be reactive in their policy-making. Decision-making and Radioactive Waste Disposal explores these issues utilizing a linear narrative case study approach that critically examines key stakeholder interactions in order to explain how siting decisions for low level waste disposal are made. Five countries are featured: the US, Australia, Spain, South Korea and Switzerland. This book seeks to establish an understanding of the political, economic, environmental, legal and social dimensions of siting across those countries. This valuable resource fills a gap in the literature and provides recommendations for future disposal facility siting efforts. The book will be of interest to students and scholars of environmental law, justice, management, politics, energy and security policy as well as decision-makers in government and industry.
Decision-making for New Product Development in Small Businesses (Routledge Advances in Management and Business Studies)
by Mary Haropoulou Clive SmallmanWhat goes on in a small firm that lives or dies by its capacity to innovate? How are decisions made on new product development, and how does that feed into the ecological, social and financial sustainability of the firm? This book answers the questions through an in-depth look at a small business that manufactures high-end carpet yarn. Using advanced analytical techniques to interrogate rich qualitative data, the book draws together established theories of decision-making and new product development, coupled with thinking about business sustainability to improve our understanding of this important area of business practice. The book further reinforces the importance and role of organizational learning in organizational decision-making, based on novel analysis of empirically developed qualitative data.
Decision-making in High-Risk Projects
by Akio ToriiThis book identifies and systematically confirms the various factors that allow dangerous nuclear power projects to proceed without adequate risk assessment, even as society recognizes the magnitude of risks associated with nuclear power generation. For the first time, it employs a communication game model to explore each factor individually. The novel feature of the book lies in its theoretical analysis of institutional factors, such as the possibility of regulatory capture by electric power companies, the likelihood of these companies concealing early warning signs, the societal demand for excessive safety leading to intolerance of even minor incidents, and the ambiguity of liability. These issues have been pointed out and discussed by many commentators, including the media, but they have never been rigorously verified through economic model analysis. Furthermore, the book discusses why trial and error, a common approach in technological development, is particularly challenging for nuclear power.
Decision-making in Humanitarian Operations: Strategy, Behavior and Dynamics
by Sebastián Villa Gloria Urrea Jaime Andrés Castañeda Erik R. LarsenThis book brings together research in humanitarian operations, behavioral operations and dynamic simulation. Part I outlines the main characteristics and strategic challenges of humanitarian organizations in preparedness, knowledge management, climate change and issues related to refugees and social inclusion. Part II gives an introduction to behavioral operations and experiments in single- and multi-agent settings, followed by discussions on quantal theory, framing effect and possible applications in the humanitarian sector. Part III introduces system dynamics and agent-based modeling and discusses how these techniques can be used to study dynamics and decision-making in humanitarian operations. This book is unique in providing a holistic view of the decision-making process and challenges in the humanitarian sector.
Decision-making: Concepts, Methods and Techniques
by Shyama Prasad MukherjeeThis book presents a comprehensive and updated account of concepts, methods and techniques of decision-making. It has derived strength from advances in several branches of knowledge including mathematics, computer science, behavioural economics, logic and related areas, besides statistical decision theory. The reader will find here an integrated picture of concepts, methods and analytics to aid decision-making in a wide array of situations, ranging from classical optimization to computational social choice and organizational responses to emergency and stress. Decision-making: Concepts, Methods and Techniques lucidly presents the decision-making tools aided and strengthened by decision theory in all its domains and dimensions, at the same time emphasizing the role of human behaviour in all its diversity.
Decisiones que cuentan: Principios para tomar decisiones económicas que te cambiarán la vida
by Andrés PanasiukPerder la fortuna de la noche a la mañana, autodestruir el trabajo de 40 años, dilapidar la herencia, dejar a la familia en la miseria... estas son historias reales que vivieron líderes bíblicos a causa de sus propias decisiones.Sufrimos las consecuencias de nuestras decisiones financieras día a día, pero ¿tienes la certeza de que estás tomando buenas decisiones? En Decisiones que cuentan, el doctor Andrés Panasiuk enseña de forma clara y sencilla, principios bíblicos sólidos que te ayudarán a tomar decisiones económicas informadas, las cuales te llevarán a lugares donde nunca has estado antes...Las decisiones cuentan y te pueden llevar por el camino del fracaso o del éxito, ¿dónde te llevarán tus decisiones hoy?
Decisions Over Decimals: Striking the Balance between Intuition and Information
by Paul F. Magnone Christopher J. Frank Oded NetzerBecome a confident leader and use data, experience, and intuition to drive your decisionsAgile decision making is imperative as you lead in a data-driven world. Amid streams of data and countless meetings, we make hasty decisions, slow decisions, and often no decisions. Uniquely bridging theory and practice, Decisions Over Decimals breaks this pattern by uniting data intelligence with human judgment to get to action — a sharp approach the authors refer to as Quantitative Intuition (QI). QI raises the power of thinking beyond big data without neglecting it and chasing the perfect decision while appreciating that such a thing can never really exist.Successful decision-makers are fierce interrogators. They square critical thinking with open-mindedness by blending information, intuition, and experience. Balancing these elements is at the heart of Decisions Over Decimals. This book is not only designed to be read - but frequently referenced - as you face innumerable decision moments. It is the hands-on manual for confident, accurate decision-making you've been looking for; the rare resource that provides a set of pragmatic leadership tools to accelerate: Effectively framing the problem for stakeholders Synthesizing intelligence from incomplete information Delivering decisions that stick Strike the right balance between information and intuition and lead the smarter way with the real-world guidance found in Decisions Over Decimals.
Decisions That Matter: How to Make Decisions in A World of Endless Choice
by Adrienne AdhamiIt's estimated that the average person now makes around 35,000 decisions each day. We're living in the age of abundance, with more choices than ever before. From everyday mundane choices to big life decisions, the more options we have, the more overwhelmed we become. In Decisions That Matter, Adrienne Adhami – podcaster, business advisor and keynote speaker to industry-leading companies such as Microsoft, Spotify and Range Rover – provides the tools and insights you need to navigate these choices with confidence. Adrienne offers strategies and frameworks to help you make intentional decisions in a world full of distractions.Packed with real-life examples and actionable steps, Decisions That Matter will help you:Overcome procrastination: build the confidence to make effective decisions.Combat decision fatigue: reclaim your time and mental energy by simplifying the decision-making process.Take control of your life: create a life that aligns with your values and goals.Motivating and infused with Adrienne’s infectious energy, Decisions That Matter is a manual that empowers you to break free from indecision and make choices with clarity and conviction.