粗糙集理論 的英文怎麼說

中文拼音 [cāolún]
粗糙集理論 英文
rs theory
  • : Ⅰ形容詞1 (長條東西直徑大的) wide (in diameter); thick 2 (長條東西兩長邊的距離寬的) wide (i...
  • : 形容詞(粗糙; 不細致) rough; coarse; crude
  • : gatherassemblecollect
  • : Ⅰ名詞1 (物質組織的條紋) texture; grain (in wood skin etc ) 2 (道理;事理) reason; logic; tru...
  • : 論名詞(記錄孔子及其門徒的言行的「論語」) the analects of confucius
  • 粗糙 : (不精細; 不光滑; 不細致; 草率) coarse; rough; crude
  • 理論 : theory
  1. Knowledge and classifications are related together by the theory of rough sets which claim is that knowledge is deep - seated in the classificatory abilities of human beings

    摘要粗糙集理論將知識與分類聯系在一起,認為知識就是人類所具有的分類能力。
  2. Commerce data mining based on rough set theory

    粗糙集理論在商業數據挖掘中的應用
  3. According to the different sample set, we have been on discussion, using lagrangian multiplier technique or lmt in the optimal theory, slt and function analysis , then we get the decision function and svm with the corresponding different sample set. thirdly, for improving generalization ability, application ability and recognition speed of svm, we have used fuzzy set theory ( fst ) and rough set theory to study svm deep, and integrated them into svm, constructed fssvm ( fuzzy set svm ) and svm based on rough set theory, and extended performances of svm in the chapter 4, 5

    再次,為了進一步提高支持向量機的通用性以及推廣能力、應用能力、識別速度等性能,在第四、第五兩章運用模糊( fst )和粗糙集理論( rst )對支持向量機進行研究,採用優勢互補原則,先是把模糊與支持向量機有機結合,構造出基於模糊的支持向量機( fssvm ) ,然後把粗糙集理論與支持向量機相互結合,進而把rst與fssvm相互結合,構造出基於rst的支持向量機。
  4. Therefore, this dissertation based on the pre - research defense projects of “ research on longevous service and high reliability of satellite ” of the national tenth - five - year plan, study the method of uncertainty inference, and the application of rough set theory in the development of the satellite fault diagnosis system, the main content of this dissertation is as follows : first, this paper incorporate the status in quo of the technology of fault detecting and diagnosis and the artificial intelligence ( ai ), realize the newest trend of the technology of fault detecting and diagnosis is that using the technology of artificial intelligence to solve the certainty and uncertainty problem in the actual engineering area

    為此,本文以國家武器裝備「十五」預研「衛星長壽命高可靠技術」研究項目為背景,研究不確定性推中的粗糙集理論在衛星故障檢測和診斷中的應用,並開發相應的系統。主要研究內容包含以下幾個方面:文首先結合故障診斷技術及人工智慧技術的發展現狀,明確了故障診斷的發展方向是使用人工智慧的最新研究成果去解決實際應用中更為常見的各種確定和不確定問題。分析了解決不確定推技術的主要方法及各自的原並進行了比較。
  5. Rule generation approach based on rough set theory

    一種基於粗糙集理論的規則獲取演算法
  6. Data pre - processing based on rough set theory

    基於粗糙集理論的數據預處
  7. The extending model of rough sets theory

    具體的研究內容如下: 1 、粗糙集理論擴展模型。
  8. Attribute reduction is the core of rough sets theory

    屬性約簡是粗糙集理論的核心內容。
  9. Real rough set theory and attribute reduction

    實域粗糙集理論及屬性約簡
  10. To avoid the subjectiveness of experts in extracting diagnosis rules, rough set theory is introduced into extracting diagnosis rules

    摘要為了克服專家在診斷規則提取時的主觀性,把粗糙集理論引入診斷規則提取之中。
  11. With the rough sets theory, people can process the undistinguished problem using uncompleted information or knowledge. and also enhance the capability to classify the imprecise data coming from observation or measurement

    粗糙集理論反映了人們以不完全信息或知識去處一些不可分辨現象的能力,或依據觀察、度量得到某些不精確的結果而進行數據分類的能力。
  12. From the work mentioned above, the paper independently gives a new method to generate belief functions based on rough set. and it is accordant with the requirement of dempster - shafer evidence theory

    作者還獨立提出了一種基於粗糙集理論的信任函數構造方法,並分析證明了其完全符合證據的要求。
  13. Based on rough set theory, the relationship between belief function and inner measure belief function and lower probability of a random set are discussed, then we give a interpretation of these uncertainty measure

    本文以為基礎,研究了信任函數與內測度、信任函數與隨機的下概率之間的關系,並給出了它們基於粗糙集理論的解釋。
  14. Taking this as a base, a concept of believability has been introduced, and the expression method of criterion of fuzzy critical hole expansion ratio under the upper and lower approximation set of rough set theory was advanced

    在此基礎上,引進可信度的概念,提出模糊臨界空穴擴張比判據在粗糙集理論的上、下近似下的表示方法。
  15. Rs theory was proposed by pawlak in 1982. the focus of rs theory is on the ambiguity caused by limited discernibility of objects in domain of discourse. fuzzy set theory was proposed by zadeh in 1965 and hinges on the notion of a membership function on the domain of discourse, assigning to each object a grade of belongingness in order to represent an imprecise concept. the combination of fuzzy sets and rough sets are a new study and is very value in fact

    粗糙集理論是波蘭數學家z . pawlak於1982年提出來的兩種處不確定和不精確數據的,是通過等價關系來研究對象之間的不可分辨關系;模糊是美國控制專家zadeh於1965年提出的一種處非精確的現象的數學工具,是利用合的特徵函數來處邊界的不可定義性,在模糊合中並沒有應用對象之間不可分辨性的概念。
  16. Both the certainty and uncertainty basis decision rules were extracted directly by using rough sets theory, and then formed libraries of decision rules of the information system

    利用粗糙集理論直接生成確定性基本決策規則和不確定性基本決策規則,形成信息系統的基本決策規則庫。
  17. Rough set theory is a data mining approach capable of dealing with incomplete and inaccurate data, and it has been successfully applied to artificial intelligence and knowledge discovery, pattern recognition and classification, and fault detection

    粗糙集理論是數據挖掘的方法之一,它是處模糊和不確定知識的一種數學工具,已在人工智慧與知識發現,模式識別與分類,故障檢測等方面得到了較好應用。
  18. Rough set theory is an important tool to extract knowledge in databases. due to its capability of dealing with incomplete and inaccurate data, and the high readability of the rules extracted, rough set theory has been considered the apple of researchers " eyes recently

    因為粗糙集理論能夠處不完備不準確的數據並且其提取出的規則易於解,同時,自於八十年代提出之後,其已成功地運用於許多商業應用中,因而粗糙集理論得到了眾多研究者的青睞。
  19. As a novel tool for knowledge extraction, the rough set theory can supply reliable data to maintenance technicians for rapid and effective fault diagnosis by the " reduction " of information system and extracting a set of minimal diagnostic conditions in the fault diagnosis system

    應用粗糙集理論挖掘工具,對故障信息系統「約簡」 ,在故障診斷系統中提取最小診斷條件,可為設備維護人員提供快捷、有效的診斷依據。
  20. As the problem of attribute is one of core problems in rough sets theory, this paper puts forward an improved algorithm based on genred reduction algorithm, what " s more, the improved algorithm is applied into client purchase analysis field

    屬性約簡問題是粗糙集理論的核心問題之一,本文提出了一種基於genred的最大概率因子的改進屬性約簡演算法,並將該演算法應用在市場營銷的客戶購買分析方面。
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