分辨

The rough set required that discretization should be maintained indiscernibility of the original decision-making system, however, many algorithms before permitted approximate quality descended controlled certain scope.

粗糙集理论中要求离散化保持原有决策系统的不可分辨关系，但以往的一些算法在离散过程中会使近似精度控制在可以接受的范围，即允许一定的错分。

Using this method, when new rule being added, we need not use all un-reduced rules to simplify decision algorithm, only the rules which are rule complete with respect to an indiscernibility class are simplified; using this reduced decision algorithm in the Knowledge Represent System in which the decision algorithm is not complete, the decision with unknown correctness will not arise.

使用这种方法，当新规则加入时，不必将所有的规则都重新约简，只要约简相对于某一不可分辨类规则完备的规则；在不完备的知识表达系统中使用约简的规则，也不会出现误判的情况。

The algorithm of attribute reduction and attribute value reduction based on indiscernibility matrix and essentiality of attribution. The unnecessary characteristic quantities are eliminated, and minimum reduction rules are gained.

利用不可分辨矩阵和属性重要性给出一种属性约简和属性值约简算法，剔除了不必要的特征量，得到最小化约简规则。

In this paper, based on the indiscernibility discipline in Rough Set theory, two new measurement definitions are defined: attribute Maximum Discernibility Value and Attribute Redundancy Rate.

基于Rough Set理论中的不可分辨性原理，给出两个新的定义：属性的最大区分值(Maximum Discernibility Value， MDV)和属性冗余度(Attribute Redundancy Rate， ARR)。

A fuzzy indiscernibility relation is changed into the indiscernibility relation by using a λ-cut in the rough approximation of decision classes, and an extension of VPRS method is proposed in which probabilistic rules are obtained from fuzzy decision tables.

为了从模糊近似空间中获取用于概率决策的规则，在决策类的粗糙近似中，通过应用λ-截集，将模糊不可分辨关系转化为等价关系，提出一种可从模糊决策表中获取概率规则的扩展变精度粗糙集方法。

Based on substitution of the indiscernibility relation by a dominance relation and a confident threshold value a set, an extension of the rough sets model is proposed, which can deal with possible inconsistencies in preferential multiple attribute decision tables and obtain preferential probabilistic decision rules made up of preference actions.

摘要通过用优势关系代替不可分辨关系，并设定置信阈值α，提出了一种可以从偏好多属性决策表中发现偏好概率规则集的扩展粗糙集模型。

Firstly,proposed an extended rough sets model based on concordance relation which relaxed the indiscernibility relation and tolerance relation.Secondly,redefined some concepts,such as the indiscernibility degree between two objects,the indiscernibility degree between two clusters,integrated approximation rate of the clustering result.

首先在经典粗糙集理论的基础上，通过松弛对象之间的不可分辨和相容性条件，得到了基于和谐关系的扩展粗糙集模型；然后定义了新的个体间不可区分度、类间不可区分度、聚类结果的综合近似精度等概念，提出了新的混合数据类型层次聚类算法。

This observation supports intermolecular aggregation of long chain indoles in poor solvents, The microscopic polarity in aggregates is similar to that in cyclohexane. The distribution of indoles between bulk solution and aggregates was determined by time resolved fluorescence technique.

表明长链吲哚衍生物在混合溶剂中发生簇集，簇集体中微环境的极性和环己烷相似，利用时间分辨荧光光谱计算出长链吲哚衍生物在溶液本体相和簇集体中的分布。

MR can delineate lesions affecting infundibular stems and distinguish them from the pituitary gland or hypothalamus.

磁振造影可清楚地显示出茎突的病灶并将其与脑下垂体或下视丘的病灶分辨出来。

In this paper, we introduce and modify the interangular cosine similarity coefficient, analogy with the concept in multivariate statistical analysis. The similarities are described quantitatively.

本文引入并改造了多元统计分析中的夹角余弦相似系数，对图像多分辨分解中同一方向各高频子图之间的相似性进行了定量的描述。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。