定义了非对称相似关系的近似集概念，提出了一种利用非对称相似关系下近似集和属性值对的基于粗糙集的确定规则推理算法。
In this paper, the concept of non-symmetric similarity relation had been used to formulate a new definition of approximation to an incomplete information system.
本文讨论了粒度意义下的粗糙集近似，并定义了动态粒度下的正向近似。
In this paper, we discuss rough set approximation under granulation, and establish positive approximation under dynamic granulation.
讨论了利用模糊集的下近似和上近似定义的模糊测度和概率模糊测度的关系。
We discuss the relation between fuzzy measure defined by lower approximation and upper approximation of fuzzy set and probability fuzzy measures.
讨论随机模糊下近似、上近似集的模糊概率与模糊信任测度、模糊似然测度之间的关系。
The relationship between fuzzy probability defined by lower approximation and upper approximation of random fuzzy sets and fuzzy belief measures, fuzzy plausibility measures is discussed.
在保证绘制质量近似相同的情况下，该方法能将原始点集的点数减少约40%。
Using the new method can reduce 40% of the original points, meanwhile, ensures the similar visual appearances.
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.
用基于随机集的上粗相等、下粗相等来表示随机上近似算子、随机下近似算子。
The upper rough equal, the lower rough equal based on the random sets are used to express upper approximation operators and the lower approximation operators based on the random sets.
在一定的条件下，得到了概率约束规划逼近最优解集的稳定性和最优值的连续性，从而对近似求解这类问题提供了某种理论依据。
The stability of approximate optimal solutions sets and the continuity of optimal values of probabilistic constrained programs are obtained under some conditions.
在一定的条件下，得到了概率约束规划逼近最优解集的稳定性和最优值的连续性，从而对近似求解这类问题提供了某种理论依据。
The stability of approximate optimal solutions sets and the continuity of optimal values of probabilistic constrained programs are obtained under some conditions.
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