rough set信息详情
粗集
粗糙集
rough───adv.粗糙地;粗略地;粗暴地;adj.粗糙的;粗略的;粗野的;艰苦的;未经加工的;n.(Rough)(英)拉夫(人名);vi.举止粗野;vt.使粗糙;粗暴对待;草拟;n.艰苦;高低不平的地面;未经加工的材料;粗糙的部分
play rough───比赛时做粗野动作;耍粗暴作风,作粗暴动作;粗暴行为
rough work───n.粗活;暴力;粗制的东西;n.粗活,暴力,粗制的东西
rough-cast───粗抹灰
rough seas───中浪;波涛汹涌的海面
rough outline───粗糙的轮廓;粗线条
rough it───v.生活简单;因陋就简地生活;生活简单
rough draft───草稿;底子;草图; 草稿
rough time───艰难时期
Attribute reduction is a research focus in rough set theory.───属性约简是粗糙集理论中的一个研究重点。
We propose a data mining model based on clustering and rough set.───提出了一种基于聚类和粗糙集的数据挖掘模型。
attribute reduction is one of the cores of Rough Set (RS) theory.───属性约简是粗糙集(RS)理论的核心内容之一。
The core concept of this paper is the theory of Rough Set and Granular Computing, the method of article comparing is researched.───本文以粗糙集和粒计算理论为核心,研究中文文章比对的策略。
This model reduces attributes by knowledge amount of information for a rough set, and a minimal reduction set is formed.───该模型利用粗糙集中知识白勺信息量对属性停止约简,并产生出最小约简。
On the basis of that, redundancy attributes are eliminated using rough set reduction algorithm. Reduction attributes and rules are gained.───在此基础上,利用粗糙集约简算法剔除冗余属性,得到约简属性,并进行规则提取,最后进行实例研究检验。
The theory of rough-set points out that knowledge has granularity and defines the concept of roughness of knowledge.───在粗糙集理论中,提出知识是有粒度的并定义了知识粗糙度的概念。
In the theory of rough set, attribute reduction of decision table was an important research subject.───在粗糙集理论中,决策表的属性约简是一个非常重要的研究课题。
Attribute reduction is one of the core issues of the rough set theory and it has become a hot topic of the rough set theory research.───属性约简是粗糙集理论的一个核心问题,近年来已经成为粗集研究的热点。
In rough set theory, reduction is analyzed in inconsistent decision table.
So we can do some work on rough set theory by concept lattice method.
Then discusses the attributes reduction based on Rough Set theory and set covering problem to combine them.
Applying Rough Set Theory RST, useful knowledge or rules can be extracted from original data.
A method of knowledge expression on based rough set theory for logic function is proposed. A minimization algorithm of simplifying logic function by using rough set is given.
The concepts of rough set approximation operators under various fuzzy environment are defined. The representation theorems of the fuzzy approximation operators are examined.
Rough Set is a new mathematical tool to deal with fuzzy and uncertain knowledge. It has strong knowledge obtaining ability.
Rough set theory is a new mathematical tool to deal with vagueness and Uncertainty problem after probability theory , fuzzy sets, mathematical theory of evidence .
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.
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