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Full Description
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.
Contents
Computerized decision support case study research: concepts and suggestions.- ArgMed: a support system for medical decision making based on the analysis of clinical discussions.- The integration of decision analysis techniques in high-throughput clinical analyzers.- Decision support systems for energy production optimization and network design in district heating applications.- Birth and evolution of a decision support system in the textile manufacturing field.- A decision analytical perspective on public procurement processes.- Evaluation support system for open challenges on earth observation topics.- An optimization based decision support system for strategic planning in process industries: the case of a pharmaceutical company.- Decision support in water resources planning and management: the Nile Basin decision support system.- The AFM-ToolBox to support adaptive forest management under climate change.- SINGRAR - a distributed expert system for emergency management. Context anddesign.- SINGRAR - a distributed expert system for emergency management. Implementation and validation.- Crop Protection Online -Weeds: a case study for agricultural decision support systems.
