A knowledge-based diagnostic model which helps decisionmakers learn about hidden liabilities in their plan scenarios is developed in this paper. It offers critical opinions on plan deficiencies that may otherwise remain undetected. Decisionmakers preserve the freedom to explore solutions and retain the authority of making adjustments. This approach to human–computer interface design contributes to a more advanced domain-specific decision support system.
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