A hierarchical classification approach to knowledge acquisition for case-based decision support systems

Decision-msrkers are continually faced ith situations which require reasoning and judgement. Eventually they form some rules-of-thumb based on their past decisions which they apply to new situations. This research proposes an "intelligent" advisory system called Case-Based Decision Support System (CB-DSS) which supports decision making processes by recalling past decisions and adapting similar cases to novel decision scenarios. CB-DSS serves as a memory aid which assists in forming some consistency to decision making. The architecture of CB-DSS comprises heterogenous components which perform quantitative information processing and qualitative reasoning depending on the coomplexity of the situation. Together they for a complete decision support tool. [...]