其次，我们引入有序邻域语义，给出描述DEC2的特征公理的框架条件，证明DEC2相对这些框架条件是框架可靠的。
Secondly, we introduce the order neighborhood semantics, give the frame conditions of the character axioms of DEC2, prove the frame soundness of DEC2 with respect to the frame conditions.
其次，我们引入有序邻域语义，给出描述DEC1的特征公理和规则的框架条件，证明DEC1相对这些框架条件是框架可靠的。
Secondly, we introduce the order neighborhood semantics, give the frame conditions of the character axioms and rules of DEC1, prove the frame soundness of DEC1 with respect to the frame conditions.
该算法定义了图像区域的相对清晰度判定指标，并根据多焦距图像像素邻域的相对清晰度来逐个选取聚焦清晰的像素点从而构成融合图像。
To overcome this problem, a novel fusion algorithm is proposed, which is based on a new image region focus measure, Relative Activity Level (RAL), presented in this paper.
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.
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.
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