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借助模糊状态概念、交叉积差和统计量和信息量寻优标准 ,转好实现最佳非饱和模型拟合与归因危险度估计 ,突破了传统谱系套模型限定的约束 ,能找出显著交互效应项 ,有助于揭示微弱相关影响因素的多因素联合作用。
With the aid of the concept of fuzzy states, cross-product difference, statistics and information volume optimization criteria, the optimization of best-fit non-saturated model fitting and attributive risk estimation is carried out. The constraint defined by the traditional pedestal model is overcome and significant interactions can be found. The effect term helps to reveal the combined effects of weak factors.