Evaluating the Node Importance in Lifeline Systems Based on Variable Fuzzy Clustering

Provided by: International Journal of Engineering and Technology
Topic: Data Management
Format: PDF
Under disasters, the destruction of some key nodes in the lifeline system generally leads to the entire disastrous consequence. In order to increase the reliability of lifeline network by protecting the key nodes in network, the paper proposes a method to identify the key nodes in lifeline systems by evaluating the node importance based on variable fuzzy clustering. The paper takes water supply network system as an example and establishes the node importance evaluation indices considering both network topology and resource supply factors.

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