fuzzy data set 中文意思是什麼
fuzzy data set
解釋
模糊數據集-
Fuzzy data fusion based on vague set
集的模糊信息融合研究 -
Secondly, based on the classification of fuzzy set semantics, we give a new definition on data type. thirdly, by new data types, we give a new fuzzy relational database management system ( frdbs ) database language ( dbl ) and a new quotient operator based on the semantics in fuzzy relational database
利用模糊集合的語義分類，本文提出了一種新的模糊數據類型劃分方法，在此基礎上提出了一種改進的模糊數據庫語言，並提出了一種基於語義的模糊關系除操作和用於數據類型之間進行轉換的上操作和下操作。 -
Point training data can be converted to a fuzzy set, therefore the new method can predict both point events and area - events
因此，該方法可以對面事件、點事件和線事件進行評價和預測。 -
Using the statistic characterization of data, the relevant knowledge reduction algorithm is put forward by combining the probability with classification rules ; using the characterization of fuzzy attributes, the decision system with subjection degree attribute is built by combing the rough set theory and fuzzy set theory, and the idea of distinguish matrix is induced to the concealed decision system to reduce data
利用數據的統計特徵，將概率測度與分類規則結合起來，提出了相應的知識西北工業大學博士學位論文約減演算法;利用模糊屬性集合的特點，把粗糙集合與模糊集合有機結合起來，將粗糙集中分辨矩陣的思想引入到具有隸屬度屬性的隱式決策系統中進行數據約減。 -
First, the basic theory of the competitiveness is analyzed, evaluating indexes which conclude relative and absolute indexes basic on the last literatures are set up. second, because the data are too many and computing time is too long, the competitiveness of science and technology of 30 areas are clustered using fuzzy clustering model, the areas of the whole nation are clustered several kinds and we can draw some conclusions of same kind. evaluating the competitiveness using single model can produce white noise, so combinational models which concluding neural network, fuzzy theory and genetic algorithm are brought forward to evaluate the competitiveness of areas which are in the same kind with fujian province in the test
本文首先分析科技競爭力的基本理論，並根據以往研究科技競爭力文獻，建立包含絕對指標和相對指標的評價科技競爭力評價指標體系，其次，針對評價福建省科技競爭力在全國范圍內的排名情況數據較多，計算時間較長的具體情況，利用模糊神經網路模型對全國30個省市自治區科技競爭力水平進行聚類分析，將科技競爭力水平接近的地區聚為一類，得出科技競爭力水平相近地區情況，而後，針對已有文獻科技競爭力評價只是利用單一模型可能產生噪聲，影響評價結果，並且主觀性較強的缺點，本文將神經網路、模糊數學、遺傳演算法等智能演算法組合，利用組合評價模型對福建省和與福建省同在一類的其它地區的科技競爭力水平進行橫向、縱向評價，得出福建省在全國范圍內的科技競爭力水平排名。 -
The essential idea was that an incomplete data set including missing values was partitioned into several fuzzy clusters by using local principle component with least variance, and through solving the general inverse matrix of the data to obtain the principle components of each sub - clusters, the missing values in clusters could be estimated based on local principal components utilizing a simple linear model
其基本思想是，先利用具有最小方差的局部主成分，把包含有遺漏值的不完備數據集劃分成多個模糊聚類，然後通過求解廣義逆矩陣來獲得各個子聚類的主成分，最終在局部主成分的基礎上通過簡單的線性方程模型去佑計聚類中的遺漏值。 -
Of data traffic, to determine whether the connection can be set up. five fuzzy sets for request bandwidth, average rate and c. v
而有些演算法則是根據對路徑條件的需求網路的狀態及相關的信息來判斷資料可傳輸與否。 -
Based on the intelligence. we can first train the bp network using the standard records from the final users, then, the network can process the raw data from various sources, and reach its own conclusions. not as normally the ann systems do, our model outputs a fuzzy set to act as the final dss result. during the whole procedure, the core lies in the bp network about the model ' s efficiency and its effectiveness. as a rule, a commonly multipurposed solution falls behind the specially single - purposed one in its efficiency and effectiveness, so much of work has been put into the try to improve the whole ststem performance, which was largely dependent on the special attributes of the data from the definite final user
在這個基本模型網路中，使用用戶提供的標準數據對網路進行訓練，從而使其記住標準的數據模式是整個網路智能決策的關鍵所在。在我們的模型中，一方面要考慮到網路的正確分類的能力問題，另一方面，我們又不得不考慮網路的效率問題。對這些問題的研究和解決是我們在這個模型中的一個主要著力點，我們將針對我們的模型所面對的用戶數據的典型特點，對網路進行應用試驗和改造，使得網路能針對我們的數據有最佳的效率和性能。 -
The fuzzy probabilistic data association of multiple targets tracking is presented in this paper, which define a target ? uzzy set on the measurement set at time k and then use fuzzy least mean square error method to estimate target states
給出了一種多目標跟蹤的模糊概率數據關聯方法，該方法在k時刻的回波集上定義一個目標模糊集，表示回波與目標之間的模糊關系。然後基於目標模糊集，利用模糊最小均方誤差估計方法對目標狀態作出估計。 -
Soft computing includes artificial neural network, fuzzy logic, evolutionary algorithms, rough set ( rs ) theory, etc. as a new soft computing, rough set can analyze and handle imprecise, inconsistent and incomplete data efficiently. in addition, connotative knowledge and latent rules will be discovered by using rough set theory
粗糙集理論是一種較新的軟計算方法，它能有效地分析和處理不精確、不一致、不完整等各種不完備信息，並從中發現隱含的知識，揭示潛在的規律，是一個強大的數據分析工具，具有良好的容錯性能。 -
From a set of numerical input - output data, a fuzzy model, which is a collection of fuzzy if - then rules for describing the studied system, is first constructed for the magnetization curve
針對輸入輸出數據資料，首先建立由模糊若… ，則…法則所組成的模糊模型，來描述所研究的磁化曲線。 -
( 4 ) considering such actual difficulties as lacking of engineering data and discrepancy in managing level, four methods for damage assessment are proposed in the thesis based on expert knowledge, which are weighted average method, fuzzy comprehensive evaluation method, generalized quantification method and set pair analysis method to make useful supplements to the neural network method. disadvantageous effects, caused by dissimilarity of subjective factors such as every abstract expert ' s knowledge, level, discernment and emphasis on problem, are eliminated to some extent in each method. furthermore, there are not any complicate mathematic or mechanical calculations, and conclusion can be easily got only by some simple reasoning and comparing from experience
（ 4 ）考慮到工程資料少、管理水平不一的實際困難，建議了基於專家知識的加權平均法、模糊綜合評判法、模糊廣義量化法和集對論方法等四種損傷評估方法，作為橋梁損傷神經網路評估方法的有益補充，這些方法均能從一定程度上消除由於專家個人偏好、知識層次不同等造成的差異，且一般不涉及復雜的數學或力學計算，只需根據經驗進行一些簡單推理和比較就能得到結果。 -
This method is a combination of the usage of polarimetric information of polsar data and the unsupervised classification method based on fuzzy set theory
該方法是原始sar數據極化信息的利用和基於模糊集理論的非監督分類方法的結合。 -
First of all we discuss the model of information purifying and bring forward the methods of setting up the according fuzzy set and subject function. secondly after analyzing the traditional technology and the strongpoint and the shortcoing of information purifying we improve it combining with the technique of fuzzy mode identifying, data warehouse, cache etc. and we can perpetrate an on - line and synchronous purifying through analyzing the text and picture showing in the pages of network. finally, we choose sql server 2000 to design the url database and delphi, wingate as the tool for system development to develop an efficient system of information purifying which can keep the network consumer especially young student apart from the intrusion of unfriendly information and make the environment of network pure and fine
本文首先探討了該系統中的信息「凈化」模型，提出了模型中的模糊集及隸屬函數的構造方法；然後分析了傳統的信息「凈化」技術及其優缺點，結合模糊模式識別、數據倉庫、高速緩存等技術對傳統的信息「凈化」技術進行了改進，改進后的信息「凈化」技術可通過分析正在顯示中的網頁文字、圖片內容，做即時、同步性的網頁內容篩選；最後，利用sqlserver2000設計了url數據庫，選擇delphi 、 wingate作為系統開發工摘要具，設計開發了一種高效的網路「凈化」器，使網路用戶尤其是青少年學生遠離非友善信息的侵擾，讓網路環境更加純凈、美好。 -
Fifthly, the paper utilize the fuzzy mathematics principle to analyse model setting up, model discerning, fuzzy decision - making process of fuzzy mathematics, the conclusion is drawn that we appraised mould cost with fuzzy similar comparative method, with fuzzy mathematics the expert ' s behavior is simulated as well as the useful information is drawn lastly, the fuzzy similar appraisal mathematics model on basic of man - hour method is set up, the characteristic factors to describe automobile covering of mould and coefficient of influence factor to synthetically judge similar work are confirmed which raises the precision of price by mathematics foundation, work characteristic sureness, influence factor sureness, management of sample data, etc. of weight of factor of model, the paper set up more intact theoretical system of mould price estimate with fuzzy similar comparative method
建立了基於工時法的模糊相似評價數學模型，確定了描述汽車覆蓋件模具的特徵因素；並確定了綜合評判工件相似性所用各影響因素的權重集合，提高了模具價格估計的精度。通過對數學模型的建立、工件特徵因素的確定、影響因素權重的確定、樣本數據的管理等的研究，本文較完整的建立了利用模糊相似比較方法估算模具價格的理論體系。在分析模具報價流程和決策過程的基礎上，開發了汽車覆蓋件模具計算機輔助報價系統，該系統安全、方便、準確。 -
Starting with the clusters of data projected to one dimension, the algorithm getsthe approximate multi - dimension fuzzy clusters through set intersection, and finally finds the exact multi - dimension fuzzy dus - ters
它以一維數據的聚類方法為基礎，通過對各映射子空間聚類相交，得到高雛聚類的近似解，進而求出精確解。 -
In our work here, a model of data mining was developed, which got its foundation from artificial neural networks. hi fact, this kind of model might be called an infant protocol for dss ( decision support system ), which accepts final users " raw data, integrates various sources of data, cleanses them from garbages, then normalizes them into an intermediatary data file. from this temporary data file, the dss model can now make a conclusion, which is a fuzzy set. to do this, we introduce a kind of ann models called bp network, which classifies the records from the normalized data file. in the model. we put our main emphasis on bp network and its training algorithm. ann has been a branch of ai, and it has some kind of intelligence of human beings, as to memorization and reasoning
我們實現的模型是一個有機的數據處理和決策綜合系統，首先，模型接受用戶在通常的mis系統中積累產生的各種數據，對這些原始的， 「粗糙」的數據，我們第一步的工作是對他們進行預處理，這個過程其實相當的復雜棘手，最典型的，它首先要集成來自不同數據源的數據，其次，它要能夠對這種數據進行清洗，除去我們不感興趣的臟數據，最後，它還要對數據進行重新的解釋，處理數據的規范化，一致化等問題。在進行了必要的數據預處理之後，我們就可以對這種合適的數據進行決策分類了。 -
Study the principle and formula derivation of fuzzy - similarity - comparison quotation method, some critical technique such as elemental composition and elemental weights in the parts feature set, normalizing data, selecting similar samples, and so on
模糊相似比較法的原理、公式推導過程，及工件特徵集合中各元素的構成和權值的選取、數據規格化和相似樣本的選取等關鍵技術。 -
Unlike the ordinary weights of evidence using point training sets, the new method involves training data as a fuzzy set
通過適當的變換也可以把點訓練層轉換為模糊集合。 -
During running, computer deal with fuzzy rules and carry out the best adjust of pid parameters. we programmed with modularization idea of labview, we achieved to set the test parameter, data acquisition, data processing and result display, communication with the optic testing instrument. we also achieved to drive no - ni daq and efficiency the system software by use multitasks
設計中通過對ld和pd的電流進行采樣構成acc和apc兩種電流控制方式對ld驅動電流進行閉環控制;採用參數模糊自整定pid控制演算法，實現對溫度的控制，在線運行過程中，計算機對模糊規則結果處理、查表和運算，完成對pid參數的最佳調整。
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