rough set 中文意思是什麼
rough set
解釋
粗糙集-
Commerce data mining based on rough set theory
粗糙集理論在商業數據挖掘中的應用 -
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 -
A real rough set space and the concepts of real lower and upper approximation corresponding to real - valued attributes is studied. a rhombus neighborhood for som is proposed, and the combination of som and rough sets theory is explored in the dissertation. according to the distance between the weight of winner node and the input vector in the real rough sets space, some new weights learning rules are defined
本文提出採用菱形鄰域代替一般的方形鄰域，可以減少待修正權重的數目;並利用實數粗糙空間的下、上近似集的精確概念劃分自組織映射的輸出結果，使得改進后的映射結果中各類樣本點之間有明顯的間隔，易於進行分類識別。 -
In this paper, we propose a novel approach using sentential frequent itemset, a concept comes from association rule mining, for text classification, which views a sentence rather than a document as a transaction, and uses a variable precision rough set based method to evaluate each sentential frequent itemset s contribution to the classification
為了解決這一問題，參考目前的數據挖掘領域的工作，提出了一個文檔數據庫模型，即將每一篇文檔映射為一個文檔數據庫，文檔中的每個句子看作數據庫中的一個交易，每一個詞看作一個項目。 -
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 -
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 -
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理論的要求。 -
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
本文以粗糙集為基礎，研究了信任函數與內測度、信任函數與隨機集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。 -
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、下近似集下的表示方法。 -
For the complexity and diversity of the black - spot cause of formation, we find a method based on the rough set to determine the most important inducement of the black - spot, then we can repair the inducement in effect and save more time and money
該文針對交通事故多發點成因的復雜性和多樣性，提出通過粗集來對公路交通中的不利因素進行篩選，找到形成事故多發點的最大誘因，從而有針對性地進行整治，能夠有效地節約時間和費用，避免不必要的人力、物力浪費。 -
Finally we give the interpretation of possibility theory in rough set theory, then present a couple conversion algorithm between rough set and fuzzy set
最後我們給出了可能性理論的粗糙集解釋，並在此基礎上給出了粗糙集與模糊集的轉換演算法。
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