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中文摘要：
为有效控制复杂系统崩溃,提出一种基于约束熵的复杂系统重要节点崩溃控制方法。通过概述现有事故致因理论及模型,建立分析复杂系统安全事故致因的＂认知-约束＂模型。针对复杂系统节点众多,关联复杂的本质,指出为预防安全事故,必须在强化安全认知能力的基础上对重要节点进行约束控制。在提取节点重要度评估参数后,设计一种改进的复杂系统节点重要度评估算法。最后,引入约束熵概念,构建抑制复杂系统重要节点崩溃的约束熵度量模型。研究结果表明,存在可量化的用于控制复杂系统崩溃的手段;预防安全事故的关键是将适量的约束熵＂引入＂重要节点。
英文摘要：
In order to effectively control the collapse of complex system can be controlled effectively, a constraint entropy-based method for controlling complex system important node collapse was proposed. After summarizing the existing theories and models about accident causation , a cognition-constraint model was built for analyzing the safety accident causation of complex system . For numerous nodes and associa- tions exist in complex system, it was pointed out that in order to prevent safety accident , importance nodes in the complex system must be constrained and controlled on the basis of increasing safety cognition abili- ty. After the evaluation parameters of node importance were extracted, designed an improved complex system node important evaluation algorithm. Finally , the concept of constraint entropy was introduced. A constraint entropy measurement model was built. Research results show that there is a quantifiable means for controlling complex system collapse . The key to preventing safety accident is ＂introducing＂ a right amount of constraint entropy into the important node.
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同项目期刊论文
A New Hybrid Intelligent Algorithm for Fuzzy Multiobjective Programming Problem Based on Credibility
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