The intellectual structure of decision support systems (1971–1989)
Decision Support Systems
Decision support system for production planning—concept and prototype
Decision Support Systems
ISPM: a DSS for personnel career management
Decision Support Systems
On the use of knowledge-based decision support systems in financial management: a survey
Decision Support Systems
Decision Support Systems - Special issue on decision support in strategic management
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Reliable classification using neural networks: a genetic algorithm and backpropagation comparison
Decision Support Systems
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Past, present, and future of decision support technology
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Decision Making Based on Past Problem Cases
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
On the Verification of an Expert System: Practical Issues
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
An interactive neural network-based approach for solving multiple criteria decision-making problems
Decision Support Systems
Expertise in a hybrid diagnostic-recommendation system for SMEs: a successful real-life application
IEA/AIE'2004 Proceedings of the 17th international conference on Innovations in applied artificial intelligence
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We describe a hybrid expert diagnosis-advisory system developed for small and medium enterprises. The Performance, Development, Growth (PDG) system is completely implemented and fully operational, and has been successfully used on real-world data from SMEs for several years. Although our system contains a great deal of the domain knowledge and expertise that is a hallmark of AI systems, it was not designed using the symbolic techniques traditionally used to implement such systems. We explain why this is so and discuss how the PDG system relates to expert systems, decision support systems, and general applications in AI. We also present an experimental evaluation of the system and identify developments currently under way and our plans for the future.