粗糙集 的英文怎麼說
中文拼音 [cūcāojí]
粗糙集
英文
rough set-
In this paper, the discussion is mainly focused on the following four aspects : 1. use the rsda model to build business assistant decision support system, and implement antetype system
本文著重從以下幾個方面進行了研究: 1 、採用粗糙集數據分析模塊來建立商業輔助決策支持系統，開發原型系統。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。Commerce data mining based on rough set theory
粗糙集理論在商業數據挖掘中的應用The roughness measures and data mining of s - rough sets
粗糙集的粗糙度與數據挖掘This paper recurred to the basic theory of rough set of data mining and under the direction of the frame of intelligent decision, the main theories include i ) the different methods of data mining on the base of rough set are used to deal with typical decision system namely consistent decision system and inconsistent decision system in order to carry through data reduction and rule distilment ; ii ) in the environment of dynamic increment database, the methods of data reduction to deal with the original data and increment data are discussed in the consistent and inconsistent decision system ; iii ) the method of data mining of rough set is analysized to treat with the attributes with priority ; iv ) on the base of basic rough set theory, the data analysis methods of amalgamation of rough set theory ; v ) and also the pre - disposal method to database is analysize
本文從系統工程進行決策分析的角度出發，藉助數據挖掘技術中粗糙集的基本理論，在智能決策框架的指導下，研究了基於數據挖掘的智能決策理論及方法。主要理論包括：如何利用粗糙集對典型的決策系統即相容性決策系統和不相容性決策系統運用不同的數據挖掘方法進行有效的數據約減和規則提取；在增量動態的數據庫環境下討論了在典型決策系統中對原始數據和增量數據進行數據約減的方法；分析了帶有優先權屬性的粗糙集數據挖掘方法；以基本粗糙集為基礎探討了粗糙集擴展模型的數據分析方法；研究了粗糙集數據預處理方法。Classification model is based on typical rough set theory and entropy theory, select the attribute according to entropy theory, determine the equivalence classes according to indiscernible relation, then extract the classification rules
分類模型是以經典的粗糙集合理論和信息熵理論為基礎，依據信息熵理論對屬性進行篩選，依據不可區分關系確定等價類，從而提取決策規則。Outlier detection is a very important technique in data mining. in this paper, a more practicable system on outlier mining technique in high - dimensional is presented, which uses reduction character of rough set to cut out some inessential attributes and then mines outliers in subspace of every correlation rules
本文提出了對高維空間下離群點挖掘技術上的一個改進，即利用粗糙集的約簡特性對高維空間下的數據屬性進行約簡，通過約簡一些無關緊要的屬性來減少高維空間的維數。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、第五兩章運用模糊集理論（ 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，先是把模糊集與支持向量機有機結合，構造出基於模糊集的支持向量機（ 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。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，研究不確定性推理理論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:論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理技術的主要方法及各自的原理並進行了比較。Rough set classification algorithm based on pl sql
的粗糙集分類演算法研究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An approach to attribute reduction based on rough set theory
基於粗糙集的屬性約簡演算法Data pre - processing based on rough set theory
基於粗糙集理論的數據預處理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。Attribute reduction is the core of rough sets theory
屬性約簡是粗糙集理論的核心內容。Real rough set theory and attribute reduction
實域粗糙集理論及屬性約簡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。Application of a rough - set neural network to superfamily level in insect taxonomy
粗糙集神經網路在昆蟲總科階元分類學上的應用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理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。First we compare rough sets and random sets, and derive the relationship between belief function and lower probability
首先將粗糙集與隨機集作了比較，並由此得出了信任函數與下概率的關系。分享友人