In order to enhance the risk investment evaluation algorithm precision of forestry rights mortgage of farmers, this paper provides a method of risk investment validating process of forestry rights mortgage of farmers based on dynamic Bayes network (DBN) and fuzzy system. For that have to be processed fuzzy data in time arrangement and evaluate the circumstance viably, Intuitionistic Fuzzy Dynamic Bayesian Network (IFDBN) is assembled. Intuitionistic fuzzy thinking is implanted into DBN as a virtual node in this method. Also, another technique to change over the intuitionistic fuzzy thinking yield into likelihood that could contribution to DBN as proof is proposed. Firstly, it analyzes the risk investment of forestry rights mortgage of farmers, raises the risk evaluation system and adopts normalization and factor analysis methods to pre-process the model index; secondly, by aid of a four-layer DBN model, it puts forward the hierarchical DBN model of risk investment, having input layer, fuzzy layer, fuzzy inference layer and output layer, designs the composition and calculation mode of fuzzy function module and DBN module; Finally, it verifies the viability of the calculation through experimental examination.

中文翻译：

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基于动态贝叶斯网络和模糊系统的风险投资评价方法

为了提高农户林权抵押风险投资评价算法的准确性，提出了一种基于动态贝叶斯网络和模糊系统的农户林权抵押风险投资验证方法。针对必须按时间安排处理模糊数据并对其进行可行性评估的问题，组装了直觉模糊动态贝叶斯网络（IFDBN）。这种方法将直觉模糊思维作为虚拟节点植入到DBN中。此外，提出了另一种将直觉模糊思维的产生转换为可能有助于DBN作为证明的可能性的技术。首先，分析了农民林权抵押的风险投资，完善风险评估体系，采用归一化和因子分析方法对模型指标进行预处理。其次，借助四层DBN模型，提出了风险投资的分层DBN模型，该模型具有输入层，模糊层，模糊推理层和输出层，设计了模糊功能模块和DBN模块的组成和计算方式。 ; 最后，它通过实验检查验证了计算的可行性。