In the rough set theory and rough-fuzzy set theory, computation of approximations and edge and attributes reduction of decision table is import part of them.
在粗糙集理论及粗糙模糊集理论中，上下近似及边界的求解与决策表属性约简是它们的核心内容。
We prove that the (upper) rough-fuzzy semigroup and the left(right, two-side) ideal are the generalization of corresponding notions defined on the fuzzy semigroup.
随后，证明了上粗模糊子半群与上粗模糊理想是通常的模糊子半群与模糊理想概念的扩张。
Rough set theory and fuzzy set theory are two complementary mathematical tools for dealing with imprecision and uncertainty. Rough-fuzzy sets model is established by them.
粗糙集理论和模糊集理论是处理不确定和不精确问题的两种数学工具，它们有很强的互补性，将这两种理论相互融合可以建立粗糙模糊集模型。
Rough Set is a new mathematical tool to deal with fuzzy and uncertain knowledge. It has strong knowledge obtaining ability.
粗糙集理论是一种处理模糊和不精确知识的数学工具，它具有很强的知识获取能力。
Rough set theory is a new mathematical tool to deal with vagueness and Uncertainty problem after probability theory, fuzzy sets, mathematical theory of evidence.
粗糙集理论是继概率论、模糊集、证据理论之后的又一个处理不确定性问题的新型数学工具。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
针对民用机场多因素气象预测问题的复杂性，该文构建出一种基于粗糙集的模糊神经网络模型。
On the basis of fuzzy clustering and rough set, an algorithm for extracting fuzzy rules was proposed.
提出了一种基于模糊软分类和粗糙集理论来提取模糊规则的一种算法。
The technology of attribute reduction based on the intuitionistic fuzzy rough set theory is described as to the problem of information loss in the process of discretization.
本文针对传统的离散化技术所造成的信息丢失问题，提出了利用直觉模糊粗糙集合理论来进行属性约简的方法。
Based on the method of similarity measure, it proves that the equivalence relation of rough set can be transformed into fuzzy equivalence matrix comp.
在这种相似性度量方法基础上，证明了粗集的等价关系可以被转化为模糊等价矩阵。
Using fuzzy aggregation theory and rough set theory, this article puts out a weight allocation method based on impersonal message entropy.
借助模糊聚类技术和粗糙集理论提出了一个基于客观信息熵的多因素权重分配方法。
This paper discussed the attribute reduction in rough set combined fuzzy relation theory, and then proposed a new attribute reduction algorithm and gave an illustrative example.
结合模糊关系的理论，对粗糙集理论的属性约简算法进行研究，提出了一个新的属性约简算法，并给出了一个应用实例。
At last, the full process of knowledge acquisition based on fuzzy rough set is explained by a simple meteorology information system.
最后，文中以一个简单的气象信息系统为例说明了基于模糊粗糙集的知识获取方法的基本过程。
At last, we we prove the decomposition and synthetize theorems of general fuzzy rough approximation operator.
最后，给出了广义模糊粗糙近似算子的分解与合成定理。
As knowledge block in knowledge base is fuzzy and is obtained randomly, we study the rough set model based on random fuzzy rough sets.
当知识库中的知识模块既是模糊的又是随机得到的，我们定义了基于随机模糊集的粗糙集模型。
The method revises the knowledge fuzzy and the abuse of informationaccessing and processing by combining the theory of rough sets with fuzzy clustering approach.
该方法很好的结合了模糊聚类法和粗糙集理论，对知识的模糊性以及相关信息获取及处理的弊端都进行了修正。
A model of rough fuzzy neural network classifiers is proposed.
提出了一种粗糙模糊神经网络分类器的模型。
We give some properties of random fuzzy rough sets.
给出了随机模糊粗糙集的性质。
The System may adjust the control schemes by real time traffic data, which are off-line provided by the fuzzy traffic Decision table based on Rough Sets.
文章前面部分仿真分析通过的各种交通流情况下的基于粗集理论的模糊控制方案表在系统中离线给出，以根据实时的交通流数据查表调用。
In this paper, we combine the fuzzy set theory with rough set theory by rough membership function and establish a relation between them.
通过粗糙隶属度函数，将粗集理论与模糊理论联系起来，建立一种粗集理论与模糊理论的关系。
A model of rough fuzzy neural network classifier was presented by combining rough set and fuzzy neural network.
结合粗糙集和模糊神经网络提出了一种粗糙模糊神经网络识别器的模型。
Proposes a classification algorithm based on simplified fuzzy rules base combining fuzzy clustering with rough set.
结合模糊聚类和粗糙集提出了一种基于精简的模糊规则库分类算法。
Based on fuzzy rough set theory, it is liable to change the incomplete system into fuzzy information system and make the covert knowledge stand out in a way of decision regularity.
应用这种方法能够将不完备系统转化为模糊信息系统，然后利用模糊粗糙集理论，让隐藏在不完备信息系统中的知识以决策规则的形式表示出来。
Rougness, rough entropy, fuzziness, and fuzzy entropy are major methods for measuring the uncertainty of rough sets.
粗糙集的不确定性度量方法，目前主要包括粗糙集的粗糙度、粗糙熵、模糊度和模糊熵。
With the definition about reasonable complement operation of the fuzzy rough set, a expanded rough set algebra is constructed by using the method of formula.
定义了模糊粗糙集合理的补运算，从而利用公理化方法构造出推广了的粗糙集代数。
To the rule-bases checking issue with intuitionistic fuzzy rough logical(IFRL) reasoning, an interactivities checking approach to IFRL rule-bases is proposed.
针对直觉模糊粗糙逻辑（IFRL）推理的规则库检验问题，提出了IFRL规则库的互作用性检验方法。
Moreover, the modified rough entropy and the fuzzy entropy based on equivalence relation is extended to the generalized modified rough entropy and the generalized fuzzy entropy.
并分别将基于不可分辨关系下的修正粗糙熵和模糊熵拓展到基于一般二元关系下的广义修正粗糙熵和广义模糊熵。
This paper introduces the lower and upper approximations operator of rough sets and fuzzy sets.
本文介绍了粗糙集和模糊粗糙集的上下近似。
This paper introduces the lower and upper approximations operator of rough sets and fuzzy sets.
本文介绍了粗糙集和模糊粗糙集的上下近似。
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