DSS design: a systemic view of decision support
Communications of the ACM
Proceedings of the sixth international workshop on Machine learning
The formation and use of abstract concepts in design
Concept formation knowledge and experience in unsupervised learning
Case-based reasoning
An empirical investigation into DSS structures and environments
Decision Support Systems
Key information systems issues: an analysis of MIS publications
Information Processing and Management: an International Journal
A framework for studying computer support of organizational infrastructure
Information and Management
Communications of the ACM
A New Algorithm for Error-Tolerant Subgraph Isomorphism Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A graph distance metric based on the maximal common subgraph
Pattern Recognition Letters
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
ACM Computing Surveys (CSUR)
Managing risks in enterprise systems implementations
Communications of the ACM - Supporting community and building social capital
Information Systems Development: Methodologies, Techniques, and Tools
Information Systems Development: Methodologies, Techniques, and Tools
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Rapid Information Systems Development (the McGraw-Hill International Series in Software Engineering)
Rapid Information Systems Development (the McGraw-Hill International Series in Software Engineering)
Introduction: DSS: Directions for the next decade
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Software Development Failures
Annals of cases on information technology
Annals of cases on information technology
Evaluating contingency approaches to information systems design
International Journal of Information Management: The Journal for Information Professionals
Application of a hybrid intelligent decision support model in logistics outsourcing
Computers and Operations Research
Strategy recommender agents (ALEX) - the methodology
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Creative conceptual design: Extending the scope by infused design
Computer-Aided Design
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Developing Decision Support Systems (DSS) is a difficult task, prone to errors and susceptible to colossal failures. In order to alleviate this difficulty and its consequences, we propose a framework for organizing the space of decision problems based on problem characteristics. This organization classifies decision problems into classes that exhibit intra-class similarity. We show how classifying a new decision problem into one of the existing classes provides assistance in designing the DSS for the new problem. The classification could be based simply on problem characteristics or on the structure of the problem-solution relationships. We further show that a DSS whose goal is to support the development of DSS can be developed with the assistance of related DSS.The framework we propose could best serve researchers and practitioners if the reporting of DSS projects would follow the structure presented in this paper. In this way, additional data would be accumulated and would be available for refining the classification of the space of DSS. This in turn, would improve the support for building new DSS.