This book focuses on some of the most energy-consuming HVAC systems; illuminating huge opportunities for energy savings in buildings that operate with these systems. The main discussion is on, cutting-edge decision making approaches, and algorithms in: decision making under uncertainty, genetic algorithms, fuzzy logic, artificial neural networks, agent based modeling, and game theory. These methods are applied to HVAC systems, in order to help designers select the best options among the many available pathways for designing and the building of HVAC systems and applications. The discussion further evolves to depict how the buildings of the future can incorporate these advanced decision-making algorithms to become autonomous and truly ‘smart’.
Designated a Doody's Core Title! "This is a valuable resourceÖto help prepare advanced practice nurses with the skills necessary to navigate the healthcare arena. The editors and contributors are experienced advanced practice nurses with valuable information to share with novice practitioners." Score: 100, 5 stars.óDoodyís Medical Reviews Now in its fourth edition, this highly acclaimed book remains the key title serving graduate-level advanced practice nurses (APNs) and recent graduates about to launch their careers. The book outlines what is required of the APN, with guidelines for professional practice for each of the four APN roles: the nurse practitioner, clinical nurse specialist, certified nurse midwife, and certified registered nurse anesthetist. Advanced Practice Nursing focuses not only on the care and management of patients, but also on how to meet the many challenges of the rapidly changing health care arena. Obtaining certification, navigating reimbursement, and translating research into practice are just a few of the challenges discussed. Key Features: Essential information on educational requirements and certification Advice on how to make the transition into professional practice Guidelines for ethical and clinical decision making Discussions on the DNP and CNL roles in AP nursing Updated and revised content on leadership development, regulation, informatics, health care organization, and health care policy
This title looks at decision making from the manager’s viewpoint and aims to help you to improve your decision making. It also recognises that, in business today, decision making is everyone’s responsibility. Decision making for staff, who are not managers, is often through involvement in team decisions and the module also explores the benefits and limitations of team decision making.
With contributions from some of the top academics and scientists in the field, Advanced Studies in Multi-Criteria Decision Making presents an updated view of the landscape of Decision Sciences, current research topics, the interaction with other sciences and fields, as well as the prospects and challenges at an international level. Given that Decision Sciences are recognized today as indispensable for confronting the major societal challenges in science and technology, this book would be of interest to decision-makers, managers, and researchers from academia, and industrial/services companies that would like a fresh insight into MCDM. Features Integrates a wide range of scientific fields with a general reader approach, including applied researchers from the social, business, enterprise sciences Suitable for academics and professionals Presents a broad coverage of MCDM tools either in industry or in services companies and systems Provides a fresh overview on MCDM studies promoted by prestigious R&D institutions
This book reviews and presents several approaches to advanced decision-making models for safety and risk assessment. Each introduced model provides case studies indicating a high level of efficiency, robustness, and applicability, which allow readers to utilize them in their understudy risk-based assessment applications. The book begins by introducing a novel dynamic DEMATEL for improving safety management systems. It then progresses logically, dedicating a chapter to each approach, including advanced FMEA with probabilistic linguistic preference relations, Bayesian Network approach and interval type-2 fuzzy set, advanced TOPSIS with spherical fuzzy set, and advanced BWM with neutrosophic fuzzy set and evidence theory. This book will be of interest to professionals and researchers working in the field of system safety and reliability and postgraduate and undergraduate students studying applications of decision-making tools and expert systems.
Intelligent Support Systems for Marketing Decisions examines new product development, market penetration strategies, and other marketing decisions utilizing a confluence of methods, including Decision Support Systems (DSS), Artificial Intelligence in Marketing and Multicriteria Analysis. The authors systematically examine the use and implementation of these methodologies in making strategic marketing decisions. Part I discusses the basic concepts of multicriteria analysis vis-à-vis marketing decisions and in new product development situations. Part II presents basic concepts from the fields of Information Systems, Decision Support Systems, and Intelligent Decision Support Methods. In addition, specialized categories of DSS (multicriteria DSS, web-based DSS, group DSS, spatial DSS) are discussed in terms of their key features and current use in marketing applications. Part III presents IDSS and a multicriteria methodology for new product development. Further chapters present a developmental strategy for analyzing, designing, and implementing an Intelligent Marketing Decision Support System. The implementation discussion is illustrated with a real-world example of the methods and system in use.
Optimization and decision making are integral parts of any manufacturing process and management system. The objective of this book is to demonstrate the confluence of theory and applications of various types of multi-criteria decision making and optimization techniques with reference to textile manufacturing and management. Divided into twelve chapters, it discusses various multi-criteria decision-making methods such as AHP, TOPSIS, ELECTRE, and optimization techniques like linear programming, fuzzy linear programming, quadratic programming, in textile domain. Multi-objective optimization problems have been dealt with two approaches, namely desirability function and evolutionary algorithm. Key Features Exclusive title covering textiles and soft computing fields including optimization and decision making Discusses concepts of traditional and non-traditional optimization methods with textile examples Explores pertinent single-objective and multi-objective optimizations Provides MATLAB coding in the Appendix to solve various types of multi-criteria decision making and optimization problems Includes examples and case studies related to textile engineering and management
Medical Decision Making provides clinicians with a powerful framework for helping patients make decisions that increase the likelihood that they will have the outcomes that are most consistent with their preferences. This new edition provides a thorough understanding of the key decision making infrastructure of clinical practice and explains the principles of medical decision making both for individual patients and the wider health care arena. It shows how to make the best clinical decisions based on the available evidence and how to use clinical guidelines and decision support systems in electronic medical records to shape practice guidelines and policies. Medical Decision Making is a valuable resource for all experienced and learning clinicians who wish to fully understand and apply decision modelling, enhance their practice and improve patient outcomes. “There is little doubt that in the future many clinical analyses will be based on the methods described in Medical Decision Making, and the book provides a basis for a critical appraisal of such policies.” - Jerome P. Kassirer M.D., Distinguished Professor, Tufts University School of Medicine, US and Visiting Professor, Stanford Medical School, US
The Patient Self-Determination Act of 1990 required medical facilities to provide patients with written notification of their right to refuse or consent to medical treatment. Using this Act as an important vehicle for improving the health care decisionmaking process, Lawrence P. Ulrich explains the social, legal, and ethical background to the Act by focusing on well-known cases such as those of Karen Quinlan and Nancy Cruzan, and he explores ways in which physicians and other caregivers can help patients face the complex issues in contemporary health care practices. According to Ulrich, health care facilities often address the letter of the law in a merely perfunctory way, even though the Act integrates all the major ethical issues in health care today. Ulrich argues that well-designed conversations between clinicians and patients or their surrogates will not only assist in preserving patient dignity — which is at the heart of the Act—but will also help institutions to manage the liability issues that the Act may have introduced. He particularly emphasizes developing effective advance directives. Ulrich examines related issues, such as the negative effect of managed care on patient self-determination, and concludes with a seldom-discussed issue: the importance of being a responsible patient. Showing how the Patient Self-Determination Act can be a linchpin of more meaningful and effective communication between patient and caregiver, this book provides concrete guidance to health care professionals, medical ethicists, and patient-rights advocates.
Master strategic thinking and gain competitive advantage. Have you ever wondered how to make better decisions and solve problems with more ease? Learn Game Theory shares the well-hidden secrets of great decision-makers.Use Logic and Reason to Manage Uncertainty.Life is full of uncertainty. You don't know what lies ahead. But you can learn to control the controllable by using logic and reason. With the help of this book, you'll discover new ways to think about - and solve - problems more efficiently than ever before. Discover how strategic games model real-life behavior. You would be surprised how many game theory concepts affect your life.Game theory is a management device that helps rational decision-making.Game Theory is a branch of mathematics dedicated to the study of rational, strategic decision-making. You can apply it in many different fields, from psychology, economics, and politics to military strategy, business, and even retail pricing! It focuses on conflict and cooperation between intelligent, rational players, analyzing how to optimize one's decisions, taking into account others' actions.This book won't just give you theoretical knowledge. It will teach you practical life skills! The logical deductions used in game theory can help you learn superior decision-making skills based on strategic analysis.Become Confident in Your Decision-Making Skills.Albert Rutherford is an internationally bestselling author and a retired corporate executive. His books draw on various sources, from corporate system building, strategic analysis, scientific research, and his life experience. He has been building and improving systems his whole adult life and brings his proven advice to you. Predict the future with more accuracy.What's the best way to ask for a raise?How to choose a date spot with your partner avoiding friction?How do top athletes choose their best moves?How do companies like Nike or Adidas optimize their sales strategy?Extraordinary decisions will lead to outstanding success. Use the principles of game theory to have more confidence in your choices. Learn Game Theory is written in a casual, easy-to-follow way, with an abundance of relevant examples. It will help you get shrewd by applying strategic thinking and make better decisions based on logic and analysis. Learn Game Theory and make better business decisions, improve your relationships, understand people around you, and get out of sticky situations more effectively!
