Resilience Analysis of Critical Infrastructures: A Cognitive Approach Based on Granular Computing
IEEE Transactions on Cybernetics
|July 12, 2018
Summary
This study introduces a novel approach by integrating granular computing (GrC) with critical infrastructure (CI) resilience analysis. This innovative method enhances rapid decision-making for complex infrastructure systems facing sudden adverse events.
Area of Science:
- Engineering
- Computer Science
- Risk Management
Background:
- Growing global initiatives highlight the importance of critical infrastructure (CI) resilience.
- Cascading effects of adverse events in large-scale infrastructures pose significant risks.
- CI resilience studies face challenges due to scale, interdependencies, and rapid event evolution.
Purpose of the Study:
- To develop a systemic integration of granular computing (GrC) and resilience analysis for critical infrastructures.
- To address the need for approximate reasoning and rapid decision-making in CI resilience.
- To present the first work combining GrC and CI resilience analysis.
Main Methods:
- Systemic integration of granular computing (GrC) principles.
- Application of GrC for approximate reasoning and rapid decision-making in CI resilience.
- Illustrative example demonstrating the application of the GrC-based approach.
Main Results:
- A novel framework combining GrC and CI resilience analysis is presented.
- The approach facilitates rapid decision-making for adverse events impacting critical infrastructures.
- The study demonstrates the adaptability and potential extensions of GrC for CI resilience.
Conclusions:
- The integration of GrC offers a promising new direction for critical infrastructure resilience.
- This work establishes GrC as a viable tool for analyzing and enhancing CI resilience.
- Further contextualization and extensions of GrC are recommended for practical CI applications.
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