Variable fuzzy sets methods are based on variable fuzzy sets theory. Through variability of model parameters, the reliability of evaluation could be enhanced.
可变模糊集方法以可变模糊集理论为基础，通过模型参数的变化，提高评价结果的可靠性。
Then, the mistake classification rate between two fuzzy sets is defined. Later, fuzzy variable precision rough set model is proposed based on the two definitions.
另一方面提出了在一定错分率存在的条件下的模糊集合间的相对错分率，之后结合这两个理论给出了基于模糊邻域算子的模糊变精度粗糙集模型。
At last, the thesis proceeds from psychology of investor's investment decision and sets up the conversion ratio model, and then concludes that the conversion ratio is endogenous variable.
最后，论文从投资者投资决策心理出发建立转换比率模型，得到转换比率是内生变量的结论。
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