Handbook on Decision Support Systems 1, Frada Burstein; Clyde W. Holsapple
Автор: Frada Burstein; Clyde W. Holsapple Название: Handbook on Decision Support Systems 2 ISBN: 3662501015 ISBN-13(EAN): 9783662501016 Издательство: Springer Рейтинг: Цена: 41787.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The most comprehensive reference work dealing with decision support systems, this book is essential to everyone working in the field. Written by an international array of luminaries, it contains more than 70 chapters that approach decision support systems from a wide variety of perspectives.
Автор: Power Название: Engineering Effective Decision Support Technologies ISBN: 1466640022 ISBN-13(EAN): 9781466640023 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28413.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: <em>Engineering Effective Decision Support Technologies: New Models and Applications</em> presents a collection of the latest research in DMSS and applies those theoretical considerations to best practices in the field. This reference includes empirical case studies and an analysis of new models and perspectives in knowledge management, promoting discussion of DMSS strategies among managers, researchers, and students of information science.
Автор: Jason Papathanasiou; Nikolaos Ploskas; Isabelle Li Название: Real-World Decision Support Systems ISBN: 3319439154 ISBN-13(EAN): 9783319439150 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents real-world decision support systems, i.e., systems that have been running for some time and as such have been tested in real environments and complex situations; the cases are from various application domains and highlight the best practices in each stage of the system’s life cycle, from the initial requirements analysis and design phases to the final stages of the project. Each chapter provides decision-makers with recommendations and insights into lessons learned so that failures can be avoided and successes repeated. For this reason unsuccessful cases, which at some point of their life cycle were deemed as failures for one reason or another, are also included. All decision support systems are presented in a constructive, coherent and deductive manner to enhance the learning effect.It complements the many works that focus on theoretical aspects or individual module design and development by offering ‘good’ and ‘bad’ practices when developing and using decision support systems. Combining high-quality research with real-world implementations, it is of interest to researchers and professionals in industry alike.
Описание: This contributed volume presents a collection of materials on supply chain management including industry-based case studies addressing petrochemical, pharmaceutical, manufacturing and reverse logistics topics. Moreover, the book covers sustainability issues, as well as optimization approaches. The target audience comprises academics, industry managers, and practitioners in the field of supply chain management, being the book also beneficial for graduate students
Описание: This book presents new ideas and advances in medical informatics systems, including intelligent archiving, processing, analysis and search-by-content which will improve the quality of the medical services for every patient and for the global healthcare system.
Описание: This book offers ideas, algorithms and case studies on such topics as intelligent predictive diagnosis; analysis of medical images; Medical Decision Support Systems; computational tools for fetal monitoring; Electronic Healthcare Record Systems and more.
Автор: Arun Kumar Sangaiah; Ajith Abraham; Patrick Siarry Название: Intelligent Decision Support Systems for Sustainable Computing ISBN: 3319531522 ISBN-13(EAN): 9783319531526 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intelligent Decision Support Systems for Sustainable Computing.- A Genetic Algorithm based Efficient Load Distribution Strategy for Handling Large Scale Workloads on Sustainable Computing Systems.- Efficiency in Energy Decision Support Systems using Soft Computing Techniques.- Computational Intelligence Based Heuristic Approach for Maximizing Energy Efficiency in Internet of Things.- Distributed Algorithm with Inherent Intelligence for Multi-Cloud Resource Provisioning.- Parameter Optimization methods based on Computational Intelligence Techniques in Context of Sustainable Computing.- The Maximum Power Point tracking using Fuzzy Logic Algorithm for DC Motor based Conveyor System.- Differential Evolution Based Significant Data Region Identification on Large Storage Drives.- A Fuzzy Based Power Switching Selection for Residential Application to beat Peak Time Power Demand.- Energy Saving Using Memorization: A Novel Energy-Efficient and Fault Tolerant Algorithm.- Analyzing Slavic Textual Sentiment using Deep Convolutional Neural Networks.- Intelligent Decision Support System for an Integrated Pest Management in Apple Orchard.- Analysis of Error Propagation in Safety Critical Software Systems: An Approach based on UGF.- A Framework for Analyzing Uncertainty in Data using Computational Intelligence Techniques.-
Описание: This book constitutes the proceedings of the Third International Conference on Decision Support Systems, ICDSST 2017, held in Namur, Belgium, in May 2017.
Описание: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
Автор: Henk G. Sol; Cees A.Th. Takkenberg; Pieter F. de V Название: Expert Systems and Artificial Intelligence in Decision Support Systems ISBN: 940108193X ISBN-13(EAN): 9789401081931 Издательство: Springer Рейтинг: Цена: 23751.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the Second Mini Euroconference, Lunteren, The Netherlands, November 17-20, 1985
Описание: A Decision Support Framework for Crisis Management.- Spatio-Temporal Decision Support System for Natural Crisis Management with TweetComP1.- Near Real-Time Decision Support for Disaster Management: Hurricane Sandy.- A Web-Based Decision Support System for the Multiple Capacitated Facility Location Problem.- A Web-Based Decision Support Platform for Multidimensional Modeling of Complex Engineering Systems.- Purchase Decision Processes in the Internet Age.- Supporting Business Process Exception Management by Dynamically Building Processes Using the BEM Framework.- An Agent Architecture for Concurrent Bilateral Negotiations.- Integrating Environmental Policies into Business Strategy: The Problem Structuring Stage in a Framework for Decision Support.- A Web-Based Decision Support System for Supply Chain Operations Management Towards an Integrated Framework.- Decision Making for a Risk-Averse Dual-Channel Supply Chain with Customer Returns.- Scaling Issues in Additive Multicriteria Portfolio Analysis.- A New Fuzzy Multi-criteria Decision Making Approach: Extended Hierarchical Fuzzy Axiomatic Design Approach with Risk Factors.- A DSS for Resolving Evaluation of Criteria by Interactive Flexible Elicitation Procedure.- Robustness Analysis in Multicriteria Disaggregation - Aggregation Approaches for Group Decision Making.
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