|Series||Tinbergen Institute research series -- no. 7|
|LC Classifications||HE9781 .V47 1991|
|The Physical Object|
|Pagination||264 p. :|
|Number of Pages||264|
The use of computer-based decision support systems for sustainable development is however a complex and delicate endeavor. It involves multiple issues embracing economics, ecology, politics, and others (Glatwin et al. ). Given the very broad nature of decision support technology, the authors of the chapters in this book do not. 23 rows Decision support systems (DSS) have evolved over the past four decades from . This book introduces the principles of intelligent decision support systems (IDSS) and how to build them with MiniZinc, a free, open-source constraint programming language. It explains the techniques and the risks, and provides valuable tips on practical problems. The authors do a good job of describing how computer-based systems support structured, semi-structured, and unstructured decisions and the design, intelligence, and choice framework. The book also has several good general chapters that provide an overview and describe different types of decision support systems/5(15).
Decision Support Systems (DSSs) are devoted to the management of large volumes of data. Its main goal is to simulate decision-making procedures that actually simulate (or show) some intelligence. This is why the wikipedia see DSSs well related to business processes -- . This compact and easy-to-read book describes in detail the basic principles of Decision Support Systems (DSS). The book also gives a comprehensive account of the various models used in decision making process, the many facets of DSS, and explains how they are implemented. Further, it discusses the significance of business reengineering, the role of client Reviews: 1. This book provides a comprehensive and timely introduction to clinical decision support systems, coming at a time when electronic health records are being routinely used in clinical practice, and clinical decision support systems are seeing more use. Successful businesses are good at learning what information they need, at what time and in what form. Well-designed Decision Support Systems (DSS) have an important role to play in facilitating such learnings, and in this book, the author expounds on what makes a good DSS/5(10).
This book examines decision making in general, the translation of knowledge about decision making into a DSS model, and the actual programming of a DSS. In addition, it combines the - Selection from Decision Support Systems for Business Intelligence, Second Edition [Book]. Machine learning methods, such as Support Vector Machines, learn a decision function. Next, the function is transformed into an objective function and then optimization methods are used to nd the values of decision variables to reach the desired outcome with the most con dence. The second decision support system assists diagnostic decisions in. Tables and Figures p. ix Preface p. xi Acknowledgments p. xv 1 Supporting Business Decision Making p. 1 Introduction p. 1 A Brief History of Decision Support Systems p. 2 A Conceptual Perspective p. 5 Decision Support vs. Transaction Processing Systems p. 8 Categorizing DSS Applications and Products p. 9 An Expanded Decision Support System Framework p. 12 3/5(1). Decision Support Systems: A Decade in Perspective Amsteram, NL: North-Holland, p. ISBN Table of Contents (Note: Proceedings of IFIP Working Group , Netherlands, ) McNichols, C. W. and T. D. Clark. Microcomputer-Based Information and Decision Support Systems for Small Businesses: A Guide to Design and.