Functional Stability Assessment Model for Critical Infrastructure Facilities

Data Sheet 1_Functional stability assessment and adaptation for critical infrastructure facilities.docx is a 920.9 KB document authored by Victor Perederyi and last updated on 2026-04-13. It describes a hybrid information-cognitive model combining Bayesian Trust Networks and fuzzy logic to assess the functional stability of critical infrastructure under uncertainty. The model incorporates expert knowledge and evaluates the mutual influence of information security, cybersecurity, human factors, and vulnerability indicators.

Use Cases

• Modeling functional stability probabilities based on the described hybrid Bayesian-fuzzy framework.
• Conducting scenario analysis for critical infrastructure resilience based on cybersecurity and vulnerability factors.
• Supporting real-time decision-making for infrastructure management based on the proposed information-cognitive approach.
• Extending stability assessment models with additional data-driven components as suggested in the discussion.

Strengths

• Model is described as improving interpretability and adaptability of functional stability assessment.
• Document is licensed under CC-BY-4.0, allowing for open sharing and adaptation.
• Numerical experiments were conducted in the GeNIe environment, suggesting a tested methodology.

Limitations

• The dataset is a 920.9 KB DOCX file, indicating a limited scope primarily containing textual description rather than raw data.
• Column-level documentation and sample data are unavailable, making field semantics and data structure unclear.
• Row count is unknown, which may limit suitability assessment for direct machine learning application.

Provenance

Source

Victor Perederyi via figshare.

Collection Method

Proposed based on an information-cognitive approach incorporating expert knowledge and a hybrid model.

Time Range

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Freshness

Last updated 2026-04-13 05:45:17.

Geography

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