助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   vague集合 的翻译结果: 查询用时:0.044秒
图标索引 在分类学科中查询
所有学科
数学
更多类别查询

图标索引 历史查询
 

vague集合
相关语句
  vague sets
     It′s also analyses the meaning of the Complex Value Sets, which includes Grey Sets, Unascertained Sets, Vague Sets, Universal Grey Sets and Generaliged Unirersal Grey Sets.
     剖析了复值集——Grey集合、未确知集合、Vague集合、泛灰(UG)集合和广义泛灰(GUG)集合的内涵;
短句来源
     Based Grey Sets,on analyzing the concept and connotation of Cantor sets,Fuzzy sets,(Rough) sets,Extension sets,Grey sets,Unascertained sets,Universal Grey sets and Vague Sets,this paper put forwards the concept of Generalized sets,and discusses its connotation and fundamental(properties.)
     在剖析C an tor集合、Fuzzy集合、R ough集合、Ex tension集合、G rey集合; U nascerta ined集合、U n iversal G rey集合、V ague集合概念内涵的基础上,建立了广义集合(G eneralized sets)概念,并在对其内涵进行剖析的基础上讨论了它的基本性质。
短句来源
  “vague集合”译为未确定词的双语例句
     key to the research into vague set and instinct fuzzy set with the tool of contact mathematics is how to value "i". The ways suggested in this paper to value "i" has brought convenience to the research of vague set and instinct fuzzy set.
     ·探讨了联系数学是Vsgue集合,直觉模糊集合的另一种表达形式,以联系数学为工具研究Vague集合,直觉模糊集合的关键是联系数学中对i的取值问题,本文提出了多种对“i”取值的方法,给研究Vague集合,直觉模糊集合带来方便。
短句来源
     This paper presents a vague rough set which is a new set theory based on the combination of vague set and rough set.
     将不确定理论Vague集合和Rough集合相结合,提出一种新的集合理论VagueRoughsets.
短句来源
  相似匹配句对
     The set
     集合(英文)
短句来源
     A New Set Theories—Vague Rough Set
     一种新的集合理论Vague Rough sets
短句来源
     For a set M ?
     对于集合M (?)
短句来源
     Vague Set
     Vague
短句来源
     Vague Relation
     Vague关系
短句来源
查询“vague集合”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
为了更好的帮助您理解掌握查询词或其译词在地道英语中的实际用法,我们为您准备了出自英文原文的大量英语例句,供您参考。
  vague sets
This paper extends the TOPSIS to fuzzy MCDM based on vague set theory, where the characteristics of the alternatives are represented by vague sets.
      
A new score function based on vague sets is introduced in the model and a novel method is presented for calculating the lower bound of satisfaction and upper bound of dissatisfaction.
      
In this paper, we extend a family of parameterized OWA operators to fuzzy MCDM based on vague set theory, where the characteristics of the alternatives are presented by vague sets.
      


This paper presents a brand new set theory, All Set theory, which is the united set form of the current set theories including crisp set, fuzzy set, extension set, vague set, rough set, set pair analysis, FHW(fuzzy gray matter-element),FEEC(fuzzy extension economic control) and so on. The operation of the all set is also discussed in detail. A kind of style of the human being's intelligence can be described by a kind of set form, thus all set is the united form. An all set is comprised of four parts, that is...

This paper presents a brand new set theory, All Set theory, which is the united set form of the current set theories including crisp set, fuzzy set, extension set, vague set, rough set, set pair analysis, FHW(fuzzy gray matter-element),FEEC(fuzzy extension economic control) and so on. The operation of the all set is also discussed in detail. A kind of style of the human being's intelligence can be described by a kind of set form, thus all set is the united form. An all set is comprised of four parts, that is ( A,B,F,J). A is the universe of the problem discussed. One of the elements in A can be described by an element of B. F is the map from A to B . And J restricts F . From this model, the concept of subjection that is the basic conception of human's intelligence can be simulated. Hence the wide application of all set theory in the field of artificial intelligence including pattern recognition, clustering, logic, machine learning, intelligent decision, etc., can be developed. Especially the relation among all set, logic and human intelligence style is illustrated in the paper. The theory of all set can not only unify and summarize the current theories but also provide the primary method for establishing new set theory and new logic. [

通过综合经典集合、模糊集合、可拓集合、Vague集合、粗糙集合、集对分析、FHW (模糊灰色物元空间 )、FEEC (模糊可拓经济控制 )等多种理论 ,提出了统一集概念 ,并详细讨论统一集的各种运算以及相关性质。从分析集合理论和人类思维形式之间的关系入手 ,把统一集理论初步应用到模式识别、聚类分析、逻辑推理、机器学习、智能决策等多种人工智能领域 ,指出了集合论及其运算系统与逻辑推理系统的等价关系。统一集能对现有的理论进行总结、统一 ,还为开辟崭新的集合论、逻辑推理方法提供很好的理论基础

From the meaning of sets, the paper analyses the meaning of the Single Value Sets, which includes Cantor Sets, Fuzzy Sets, Rough Sets and Extension Sets. It′s also analyses the meaning of the Complex Value Sets, which includes Grey Sets, Unascertained Sets, Vague Sets, Universal Grey Sets and Generaliged Unirersal Grey Sets. From which, it concludes that the Generaliged Universal Grey Sets is the deepest meaning of sets, and it has the stronger describing capability. It can describe all impersonality phenomenon,...

From the meaning of sets, the paper analyses the meaning of the Single Value Sets, which includes Cantor Sets, Fuzzy Sets, Rough Sets and Extension Sets. It′s also analyses the meaning of the Complex Value Sets, which includes Grey Sets, Unascertained Sets, Vague Sets, Universal Grey Sets and Generaliged Unirersal Grey Sets. From which, it concludes that the Generaliged Universal Grey Sets is the deepest meaning of sets, and it has the stronger describing capability. It can describe all impersonality phenomenon, so it′s the most extensive sets conception.

从集合概念的内涵出发,剖析了单值集——Cantor集合、Fuzzy集合、Rough集合、可拓集合概念的内涵;剖析了复值集——Grey集合、未确知集合、Vague集合、泛灰(UG)集合和广义泛灰(GUG)集合的内涵;从而得出广义泛灰集合是内涵最深的集合概念;它具有极强的描述能力,可以描述客观存在的一切现象,故又是外延最广的集合概念.

This paper presents a vague rough set which is a new set theory based on the combination of vague set and rough set. Some uncertainty properties such as fuzzy entropy and vague entropy are discussed as well.

将不确定理论Vague集合和Rough集合相结合,提出一种新的集合理论VagueRoughsets.并讨论了其不确定性性质,如模糊度粗糙度等。

 
<< 更多相关文摘    
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关vague集合的内容
在知识搜索中查有关vague集合的内容
在数字搜索中查有关vague集合的内容
在概念知识元中查有关vague集合的内容
在学术趋势中查有关vague集合的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社