基于云理论的新的不确定性推理模型研究

A new approach to reasoning about uncertainty based on cloud theory

深入分析了传统的基于云理论的不确定性推理模型,在模糊T-S模型启发下,结合云理论的成功之处,提出了一种新的不确定性推理模型,该模型可以有效地解决传统的基于云理论的不确定性推理模型在客观地反映现实中的复杂系统方面存在局限性的问题,从而大大降低推理过程的计算量,提高运算速度。仿真结果表明:T-S-C-Y模型的输出与人的主观感受相一致,是一种可行的、有效的推理。

A new uncertainty reasoning model was proposed in the inspiration of the fuzzy T-S model and with the success of cloud theory based on deeply analyzing the traditional uncertainty reasoning model. This model could effectively resolve problems on which the traditional uncertainty reasoning model based on cloud theory could not objectively reflect the actual complex system. Tiffs model had strong ability to function approximation, could greatly reduce the amount of computation reasoning process and improve the computing speed. Simulation results showed that the outputs of the T-S-C-Y model were in accord with the subjective feelings of people and was a feasible and effective inference.