DEMATEL-ISM model dynamic threshold calculation method based on centrality feature
By introducing factor centrality ranking and Spearman correlation coefficient, the threshold of the DEMATEL-ISM model is dynamically optimized, which solves the problems of subjectivity in threshold determination and poor noise resistance, and achieves more scientific and accurate causal relationship analysis.
Patent Information
- Application Number
- CN202610279655.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-09
- Publication Date
- 2026-06-05
AI Technical Summary
The threshold determination in the existing DEMATEL-ISM model relies on a single empirical formula, which is highly subjective, yields simplistic results, is prone to losing key factor relationships, has poor noise resistance, and cannot adapt to the factor characteristics of complex systems.
We introduce factor centrality ranking, dynamically optimize threshold selection by quantifying the similarity between node degree ranking and centrality ranking, and use Spearman correlation coefficient to select the optimal threshold to construct a reachability matrix.
It improves the scientific validity and robustness of the threshold, enhances the model's noise resistance, fully preserves the interaction relationships between key factors, and improves the accuracy and applicability of the analysis results.