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The morphogenetic system in risk analysis

机译:风险分析中的形态发生系统

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摘要

Modern uncertainty theories (fuzzy logic, information diffusion) provide a calculus to obtain a relationship through an observation pattern. With the relationship obtained, we can estimate the risk in different situations. We know that the information structure is essential to forecast the future risk in different situations. The main difficulty in forecasting the risk is in extracting the rules from a noncoherent set of data. Fuzzy sets and fuzzy rules are essential to detect the uncertainty, but are not sufficient to define in an optimal way the rules that describe the relationship among fuzzy variables. This paper presents the morphogenetic system, which projects the output samples of fuzzy sets to the input samples of the fuzzy sets. In the projection operator, we compute the best rules for the inferential or reasoning process.
机译:现代的不确定性理论(模糊逻辑,信息扩散)提供了一种通过观察模式获得关系的演算。通过获得的关系,我们可以估计不同情况下的风险。我们知道,信息结构对于预测不同情况下的未来风险至关重要。预测风险的主要困难是从一组不连贯的数据中提取规则。模糊集和模糊规则对于检测不确定性是必不可少的,但不足以最佳方式定义描述模糊变量之间关系的规则。本文提出了一种形态发生系统,将模糊集的输出样本投影到模糊集的输入样本。在投影算子中,我们为推理或推理过程计算最佳规则。

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