变精度粗糙集模型是由W。
为解决辐射源识别的问题，研究了变精度粗糙集模型生成规则。
Variable precision rough set model was developed to solve emitter recognition problems.
为解决辐射源识别的问题，研究了变精度粗糙集模型生成规则。
A new method was developed to find the decision rules in a rough set model based on the variable precision rough set model.
针对经典粗糙集模型只能处理完备信息系统，将变精度粗糙集模型引入到不完备信息系统中。
In view of the classical rough sets model can only dispose the complete information system, a variable precision rough sets model is introduced to dispose the incomplete information system.
利用改进后的变精度粗糙集模型(VPRS)分析“消费者决策心理调查问卷”，样本包括910个大学生。
The improved variable precision rough set model (VPRS) is applied to analyze "the questionnaire of customer's decision-making psychology". The sample includes 910 undergraduate students.
该文是在集对粗糙集模型的基础上，引入相对分类错误率的概念，提出了一种基于集对分析的变精度粗糙集模型。
In this paper, variable precision rough set model based on set pair analysis is proposed by introducing a concept of relatively classified fault rate.
在程度粗糙集和变精度粗糙集的基础上，通过引入误差参数，给出了一种新的程度变精度粗糙集模型并得出了所给模型上、下近似的一些性质。
In this paper, a degree-variable precision rough set model based on variable precision rough set and the degree of rough set is proposed by introducing a concept of error parameters.
变精度粗糙集模型允许有一定程度的错误分类率存在，利用这种特性可以有效消除投标风险信息系统中的数据噪声，提高风险要素评价的精度。
With the help of Analytical Hierarchy Process with Variable Precision Rough Set, an algorithm to evaluate significance degree of risk factors in IT project bidding was put forward.
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。
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.
本文主要进行了粗糙集的数学基础研究，与程度粗糙集和变精度粗糙集两个广义粗糙集模型的探讨。
In this paper, the mathematical foundation study of rough sets and the study of two general rough sets models are mainly researched.
第四章作者讨论了将变精度方法引入到模糊粗糙集，给出了一个变精度模糊粗糙集模型。
The forth chapter is to try to introduce the variable precision methods into the fuzzy information processing.
第四章作者讨论了将变精度方法引入到模糊粗糙集，给出了一个变精度模糊粗糙集模型。
The forth chapter is to try to introduce the variable precision methods into the fuzzy information processing.
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