We discuss the relation between fuzzy measure defined by lower approximation and upper approximation of fuzzy set and probability fuzzy measures.
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。
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.
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。
At last, a new definition of the rough degree is defined, and lower approximation has the same inequality and the same sufficient condition as upper approximation with the new definition.
最后，给出一个新的粗糙度定义，并证明在这种定义下，下近似具有与上近似一样的不等式及其充分条件。
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.
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。
Combination with upper and lower approximation of Rough sets theory and MST algorithm presents Rough MST algorithm, and constructs certain MST and uncertain MST.
结合粗糙集理论中的上下近似理论与图论中的最小生成树算法提出了粗糙最小生成树算法，并构造了确定性最小生成树和可能性最小生树。
The upper approximation and the lower approximation operators are defined in incomplete information system. Furthermore, some related properties are discussed.
定义了一种不完备信息系统的上、下近似算子，得到了一些相关的性质。
The upper approximation and the lower approximation operators are defined in incomplete information system. Furthermore, some related properties are discussed.
定义了一种不完备信息系统的上、下近似算子，得到了一些相关的性质。
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