给出了随机模糊粗糙集的性质。
本文研究格值直觉模糊粗糙集模型及其性质。
The purpose of this paper is to study the models and properties of lattice-valued intuitionistic fuzzy rough set.
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.
模糊粗糙集理论是一种处理不确定性信息的重要的数据挖掘方法。
Fuzzy rough set theory is an important method for data mining of uncertain data.
在此基础上定义了模糊粗糙集代数,并讨论了模糊粗糙集代数的简单性质。
Based on this, the fuzzy rough set algebra is defined, and some simple properties of the fuzzy rough set algebra are discussed.
本文建立了基于模糊粗糙集的神经网络预测模型,对瓦斯涌出量进行了预测。
A novel artificial network model based on fuzzy-rough set for gas emission forecasting of coal is proposed in the paper.
第四章作者讨论了将变精度方法引入到模糊粗糙集,给出了一个变精度模糊粗糙集模型。
The forth chapter is to try to introduce the variable precision methods into the fuzzy information processing.
从提高系统求解性能和运行效率的角度出发,提出了基于模糊粗糙集的实例库维护策略。
In order to enhance the system performance and operating efficiency, a case base maintenance policy based on fuzzy rough sets theory is put forward.
模糊粗糙集理论是解决数据集维数问题的有效工具,但基于模糊粗糙集的降维算法还不多。
Fuzzy rough set theory is an effective tool for reduction of data dimension, but there are few dimension reduction algorithms that are based on fuzzy rough set theory so far.
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, the full process of knowledge acquisition based on fuzzy rough set is explained by a simple meteorology information system.
该算法利用模糊粗糙集理论,依照图像的视觉特性,采用传统的图像增强方法进行图像预处理。
The algorithm makes use of fuzzy-rough sets theory to describe its uncertainty degree and carries through its pre-processing with traditional methods according to the image's visual property.
接着考虑对象与对象之间的优势程度,定义了区间值决策系统中的模糊粗糙集模型以进行知识获取。
Moreover, by considering the dominance degree between objects, the fuzzy rough approach is employed for knowledge acquisition in the interval-valued decision system.
进而将聚类得到的属性隶属矩阵用于属性约简,并提出一种基于信息熵的模糊粗糙集知识获取的方法。
Then the membership matrix obtained by clustering algorithm was used to reduce attribute set. Finally, based on entropy, a knowledge acquisition method of fuzzy Rough Set (RS) was put forward.
在基于覆盖的粗糙集的基础上,定义了基于覆盖的模糊粗糙集模型,并且讨论了该模型的一些相关性质。
Based on covering rough sets, fuzzy covering generalized rough sets is defined, and some corresponding properties are discussed.
针对凝汽器真空故障诊断的不确定性和复杂性,提出一种基于模糊粗糙集和事例推理的凝汽器故障诊断新方法。
Due to complexity and uncertainty of condenser fault diagnosis, a new method for fault diagnosis of condenser vacuum based on fuzzy rough set and case-based reasoning was presented.
人们将粗糙集理论与模糊集理论相结合,提出了粗糙模糊集模型和模糊粗糙集模型,并给出了相应的不确定性度量方法。
By combining fuzzy set theory and rough set theory, rough fuzzy set model and fuzzy rough set model were proposed, and the uncertain measurement approaches were established.
本文提出一种新的拍卖模型——多属性网上拍卖,其最核心的问题是如何决定胜出者,提出了一种模糊粗糙集的方法解决多属性决策问题。
This paper firstly presents a multi-attribute auction, and then solves the problem of winner determination which is the most key problem in multi-attribute auction based on fuzzy rough set.
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。
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.
粗糙集理论作为一种处理模糊和不确定性问题的有效工具,对时间序列的数据挖掘是有效的。
Rough set theory, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.
粗糙集理论是一种处理模糊和不确定性问题的新的数学方法。
Rough set theory is a new mathematical approach to deal with vagueness and uncertainty.
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。
Rough set theory is a new mathematical tool to deal with vagueness and Uncertainty problem after probability theory, fuzzy sets, mathematical theory of evidence.
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。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
粗糙集理论是处理模糊和不确定性问题的新的数学工具。
Rough set theory is a novel mathematical tool dealing vagueness and uncertainty.
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 is a new mathematical tool to deal with fuzzy and uncertain knowledge. It has strong knowledge obtaining ability.
粗糙集理论是一种新的处理模糊性和不确定性知识的数学工具。
Rough set theory is a new mathematical tool to deal with fuzzy and uncertain information.
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。
On the basis of fuzzy clustering and rough set, an algorithm for extracting fuzzy rules was proposed.
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。
Using fuzzy aggregation theory and rough set theory, this article puts out a weight allocation method based on impersonal message entropy.
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。
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。
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.
应用推荐