Table 3 Comprehensive evaluation metrics framework with measurement methods and importance weights. The framework captures five key dimensions of decision support system effectiveness, with weights reflecting relative importance for real-world deployment scenarios.

From: Construction of intelligent decision support systems through integration of retrieval-augmented generation and knowledge graphs

Dimension

Metrics

Measurement method

Weight

Decision quality

Accuracy, optimality, robustness

Expert agreement, provable bounds, perturbation analysis

30%

Knowledge utilization

Relevance, coverage, novelty

Information retrieval metrics, domain coverage analysis

25%

Explanation effectiveness

Comprehensibility, completeness, traceability

User studies, content analysis, graph connectivity

20%

Integration performance

Cross-domain success, orchestration efficiency

Multi-domain scenarios, pathway analysis

15%

Adaptive capabilities

Learning efficiency, transfer effectiveness

Sample efficiency, domain adaptation metrics

10%