fuzzy data analysis 中文意思是什麼
fuzzy data analysis
解釋
模糊數據分析-
By two ways, this paper debates the theory of fracture detection : on one hand by the way of edge detection in image processing ; on the other hand by time series analysis. the detection by time series analysis is more antinoise than edge detection in image processing. edge detection theory in image processing mainly includes correlation data, fuzzy edge detection, entropy operator edge detection and gradient edge detection
圖像處理中的邊緣檢測的方法主要包括相干數據體法、模糊邊緣檢測法、基於熵運算元的邊緣檢測法、梯度邊緣檢測法；其中模糊邊緣檢測法比較依賴于參數的選擇，其渡越點兩邊的像素區別明顯；熵運算元的檢測方法則是檢測的圖像邊緣比較光滑，連通性好；梯度檢測法可以使用不同的運算元核，演算法比較簡單；相干數據體對于總體的大的裂縫的分佈具有比較奸的反應。 -
Data mining, which has been considered as a important methods in the analysis of time series, received more attention came from boffin. data mining is a process which get the useful information from the vast 、 incomplete 、 noised 、 fuzzy and random data
數據挖掘技術是從大量的?不完全的、有噪聲的?模糊的、隨機的數據中，提取隱含在其中的?人們事先不知道的?但又是潛在的有用信息過程。 -
Gathering fuzzy technique and model - identifying technique to processing research, fuzzy model - identifying technique, a intersecting science, has been come out, which has become hoto in this thesis, based on deeply researching the fuzzy unit - identifying and complete analysis on data of measuring well of the chandqing wushenqi district, the method of constructing self - adapting multi - dimension non - liner subjection degree function has been created without precedento based on the extraction of routine measuring well character parameters, and for adopting self - adapting method to carry through character compression, the model has been improved the performance and enhanced the convergence speed and sorted precision of the algorithm o the relation of measuring well information and the oiliness & gassiness of sandstones is fuzzy ? in the thesis, the law of max subjection degree has been studied and improved, and proved preferable effect in the practical application
論文在提取一些常規測井特徵參數的基礎上，採用自適應方法對各變量多項式進行優選，減少了特徵參數間的相關性，突出了類別間的差異性，從而優化了模式的質量，提高了分類的精度。測井信息和砂體的儲集性之間的關系是帶有模糊性的，論文對模糊「最大隸屬原則」進行了研究和改進，並在實際應用中取得了較好的效果。論文成功研製了「自適應」的演算法和軟體? ?即通過對正確回判率的比較，然後對參數進行調節的辦法，可將模式「訓練」到最佳狀態。 -
This thesis introduces the working principle, craftwork requirement, modeling process, control strategies and the realization of lf refining furnance bottom blowing argon control system. through the study and analysis of bottom blowing argon process control system, the thesis discusses the mean neural network model of controlled object and the mathematical models of the exectors, pwm adjustable pressure controller and pcm adjustable flux controller according to the relevant liquid knowledge and relevant data, including design data, test data and running data. to begin with the craftwork reguirement of bottom blowing argon and the actual instance of the control system, it presents the strategies of fuzzy parameters self - adaptive pid control used in pressure difference inner loop and fuzzy plus pi compound control used in flux outer loop which are based on the above modeling in order to carry out the accurate control of argon flux
本文介紹了lf精煉爐底吹氬過程式控制制系統的工作原理、工藝要求、建模過程、控制策略以及控制系統的實現。通過對精煉爐底吹氬過程式控制制系統進行研究與分析，並根據流體力學的有關知識以及有關數據（其中包括設計數據、試驗數據和運行數據） ，建立起了被控對象的平均神經網路模型和執行機構（即pwm調壓器和pcm調流器）的數學模型。在此模型的基礎上，從底吹氬工藝要求和控制系統的實際情況出發，提出了壓差內環模糊參數自適應pid控制策略和流量外環模糊pi復合控制策略，以實現氬氣流量的精確控制。 -
His areas of specialization cover the development and application of intelligent spatial decision support systems, spatial optimization, fuzzy sets and logic for spatial analysis, geocomputation, spatial data mining and knowledge discovery
他的專門研究范圍包括智能空間決策支援系統、空間優化、空間分析的模糊集合及邏輯、地理計算學、空間數據發掘及知識發現。 -
In chapter 4, based on the analysis of denotation and functions of index system and the elaboration of connotation, goals, basic principles and its factors of asd, we inquire 25 scholars in the fields of asd and construct the index system of easd including population, economic, social, resources, environmental system that add up to 32 indicators considering from the statistic data in hand. then we calculate the weight of each indicator with the analytic hierarchy process ( ahp ) according to the advices given by the scholars. next, a comprehensive evaluation model is built for evaluating the level of asd, the ability of the resources and environmental systems to the population, economic, social development systems, the level of coordination development situation of population, economic, society, resources, environment with the methods of econometrics regress models and fuzzy mathematics
論文第四章，在把握一般指標體系內涵、功能的前提下，結合對農業可持續發展的涵義、目標與影響因素分析的基礎上，通過對25位國內農業可持續發展研究學者的咨詢，構建包含人口、經濟、社會、資源與環境五大系統共32個指標的浙江大學碩上學位論文衣業友展可持續性的評估指標體系及其應用研究農業可持續發展評估指標體系，採用層次分析法（ ahp ）確定各指標權重，進而從農業可持續發展水平、農業中資源與環境系統對人口、經濟、社會系統的支持能力及各大系統之間的協調發展狀況三個方面運用統計分析方法（計量經濟學和模糊數學）建立綜合評估模型。 -
Network forensics is an important extension to present security infrastructure, and is becoming the research focus of forensic investigators and network security researchers. however many challenges still exist in conducting network forensics : the sheer amount of data generated by the network ; the comprehensibility of evidences extracted from collected data ; the efficiency of evidence analysis methods, etc. against above challenges, by taking the advantage of both the great learning capability and the comprehensibility of the analyzed results of decision tree technology and fuzzy logic, the researcher develops a fuzzy decision tree based network forensics system to aid an investigator in analyzing computer crime in network environments and automatically extract digital evidence. at the end of the paper, the experimental comparison results between our proposed method and other popular methods are presented. experimental results show that the system can classify most kinds of events ( 91. 16 ? correct classification rate on average ), provide analyzed and comprehensible information for a forensic expert and automate or semi - automate the process of forensic analysis
網路取證是對現有網路安全體系的必要擴展，已日益成為研究的重點.但目前在進行網路取證時仍存在很多挑戰:如網路產生的海量數據;從已收集數據中提取的證據的可理解性;證據分析方法的有效性等.針對上述問題，利用模糊決策樹技術強大的學習能力及其分析結果的易理解性，開發了一種基於模糊決策樹的網路取證分析系統，以協助網路取證人員在網路環境下對計算機犯罪事件進行取證分析.給出了該方法的實驗結果以及與現有方法的對照分析結果.實驗結果表明，該系統可以對大多數網路事件進行識別（平均正確分類率為91 . 16 ? ） ，能為網路取證人員提供可理解的信息，協助取證人員進行快速高效的證據分析 -
After analyzing the character of risk, i introduce data mining method into risk management, to solve the contradiction between great capacity of data and lack of information, the methods include mathematics statistics and artificial neural network ( ann ). then, i study on the methods of risk management in risk identification, risk evaluation and risk disposal, what is advanced, fault tree analysis method based on fuzzy probability, stochastic simulation method and the topsis method based on interval number all consider the characteristic of risk. finally, i discussed the application of information system ( mis ) in project risk management, and developed a risk management information system
論文在深入分析了風險特徵之後，將數據挖掘技術引入風險管理，用以解決海量數據與貧乏信息之間的矛盾，所採用的技術有數理統計和人工神經網路（ ann ）兩種方法；接著，論文對風險識別、風險評價、風險處理中的風險管理方法進行了研究，所提出的基於模糊概率的故障樹技術、隨機模擬技術和基於區間數的topsis方法都體現了風險管理的特點；最後，論文對信息系統（ mis ）在工程項目風險管理中的應用進行了探討，開發出一個風險管理信息系統。 -
With accelerating pace of science development, the demands on capability of large - scale information analysis are increasing. data mining is the process through which we can extract hidden but useful knowledge from half - backed, noising, fuzzy and random data sets
數據挖掘（ datamining ）就是從大量的、不完全的、有噪聲的、模糊的、隨機的數據中，提取隱含在其中的、人們事先不知道的、但又是潛在有用的信息和知識的過程。 -
The paper, in order to support for alteration of enterprise data analysis requirements, provides a kind of adaptive online analysis processing and data mining model ( abbreviated dolam ), its logic structure, system frame and physical structure are presented, which enhances hominine direction and controlling mechanism, embodying in such aspects as query - driven, fuzzy data mining and dynamic interactive ability etc. the paper offers design and implementation blue print of the core of dolam - - data warehouse management tool, olap tool and summarysql tool, now, they are running in dalian international cooperation ( group ) stock ltd and have gained good effect
四、決策敏捷依賴于dss的柔性，為增強dss的柔性，本文提出一種具有可適應的聯機分析挖掘模型dolam ，設計了它的邏輯結構、體系結構和物理實現結構。該模型加強了人的導向和控制機制，體現在查詢驅動、模糊挖掘、動態交互方面。本文給出了dolam的核心部分?數據倉庫管理工具、 olap工具、 summarysql模糊查詢挖掘工具的具體設計和實現方案，並運用它于大連國際合作（集團）股份有限公司的決策支持實踐中，取得了較好的應用效果。 -
Based on the principle of the cooperation, i. e, the correlative stochastic equations are located on the same probability level, the linear regression with fuzzy weight analysis is adopted to fit the test data, and the three - parameter stress - life curves of the mean and the mean square deviation are obtained
根據協同原理，即相關聯的隨機方程動態地處于同一概率水準，採用模糊隨機加權線性回歸方法對試驗數據進行擬合，得到了三參數的應力-壽命模型均值和均方差曲線，從而求得在給定應力下各可靠度的疲勞壽命。 -
Moreover, the fuzzy clustering discriminate analysis method for distinguishing and eliminating the gross error of the measurement sample is established. the gross error of the practical measured data is distinguished by use of the method prove the established the gross error distinguishing model practical to the measurement system
建立了測量樣本粗大誤差判別和剔除的模糊聚類判別方法，通過對實際測量數據的粗大誤差判別，證明了所建立的粗大誤差判別模型對測量系統的實用性。 -
Methods the fuzzy clustering analysis method was applied to analyze the data quantitatively
方法用模糊數學的聚類分析方法對10城市的發展水平進行定量分析。 -
The main advantage of rough sets data analysis is that it does n ' t require any prior or additional knowledge about the data, which is then used in this paper to analysis the database, acquiring automatically the hierarchical rule sets. in order to ensure maximum consistency of the quantiflcational data, the genetic algorithms is used to get the optimal number and points of division of quantification intervals. at the same time the quantification intervals is fuzzified and crisp rule sets are then transformed to fuzzy rule sets
粗糙集數據分析的主要優點在於它不要求任何關于被處理數據的先驗或額外的知識，本文利用其對數據庫進行分析計算，自動獲取數據庫在各個層次上的規則集：在保證量化后的數據庫具有最大一致性的前提下，利用遺傳演算法求取連續屬性值的最優量化區間個數及各個區間分點值；同時將量化區間進行模糊化，將多層次清晰規則集轉化為模糊規則集，利用模糊推理進行決策以提高魯棒性。 -
As proved by the test and the running - in, dss based on linguistic representation, which support fuzzy olap and fuzzy query, get the satisfaction of the users by leading them to deeper and more extensive data analysis
經過測試和近幾個月的試運行證明，支持模糊olap和模糊查詢的決策支持系統具有良好的用戶滿意度，能夠更加深入和廣泛的引導用戶需求。 -
The first algorithm uses an iterative self - organizing data analysis technique and fuzzy clustering analysis theory. it is fast, simple and easy for programming, but more suitable for small system. the second one is a recursive algorithm
首先採用模糊聚類分析中的迭代自組織數據分析技術（ iterativeself - organizingdataanalysistechniquea ） ，提出了改進isodata不良數據辨識法；其次，提出了遞推不良數據辨識法。 -
The important research is about the theory and methods of the cluster analysis in view of statistical theory, the theory and methods of fuzzy cluster analysis, the fkn " s structure and the fkn ' s study algorithm ( fkn, fuzzy kohonen network ) - the organic fusion of the fuzzy c - means algorithm and self - organized feature map neural network. the paper proposes the ifkn ( improved fkn ) on the basis of the hard classification idea and the soft classification idea, then carries on the cluster analysis of the artificial synthetic control chart time series through matlab program and tt ? cluster result matches the cluster result of the famous dataengine " s software of the intellectual data analysis and data mining from german mit company. finally, the paper discusses the applying of the cluster analysis to the control process, which can be widely applied to the pattern recognition of the parameter " s changing trend during the control process and the image partition processing, and utilizes the ifkn to recognize the thermotechnical parameter " s changing trend based on the engineering of clinker sintering rotary kiln automatic control system of guizhou " s aluminium factory, through which good effect is obtained
數據挖掘技術在商業領域中已廣泛使用，然而在工業過程式控制制中的應用卻極少，本文正是在這種背景下，對數據挖掘中的聚類分析方法及其在工業過程式控制制中的應用研究作了償試，重點研究了基於統計理論的聚類分析理論和方法，模糊聚類分析理論和方法及模糊kohonen網路（ fkn ）的結構與學習演算法，即模糊c ? ?均值演算法與自組織特徵映射神經網路（ kohonen網路）的有機融合，並根據硬分類思想及軟分類思想提出了改進的模糊kohonen網路（ ifkn ） ，通過matlab編程對人工合成控制時序圖數據集進行聚類分析，其聚類效果與當今廣泛使用的數掘挖掘軟體平臺，德國mit公司著名的dataengine智能數據分析和數掘挖掘軟體的聚類效果相當，最後，論述了聚類分析在控制中的應用，它可以用於過程式控制制中的參數變化趨勢的模式識別及圖象分割處理等具體應用中，並以貴州鋁廠熟料燒結回轉窯自動控制系統為工程背景，利用ifkn識別其熱工參量變化趨勢，取得了較理想的效果。 -
Application of fuzzy artificial neural network to observation data analysis of earth dam monitoring
土壩觀測數據的模糊人工神經網路分析 -
It is very efficient in dealing with the data by the fuzzy cluster analysis program which is compiled with fortran77. the author concludes that the theory of fuzzy cluster analysis can be applied to the quality control work of concrete production with the program analyzing the experiment data and the method of fuzzy cluster analysis contributes to the quality control work of rmc production
利用fortran77語言編寫出了模糊聚類分析的計算機程序，實現了分析研究過程的電算化，大大提高了工作效率；運用該程序實現了對試驗室數據的分析研究，得出了模糊聚類分析理論適用於混凝土質量控制工作的結論；並將該程序進一步應用於商品混凝土的實際生產中，初步得出了模糊聚類分析方法有助於混凝土攪拌站實現對混凝土生產的質量控制。 -
Abstract : the problems that exist in choosing fabric were discussed in this paper. based on the application of fuzzy clustering analysis, a method for choosing fabric was proposed, in which a great of subjective experiences in the fabric choosing process can be changed into the objective data exactly. so, the fabric sample can be sellected scientifically and accurately, thus avoiding the personal prejudice. an advanced method in the purchasing fabric work was provided
文摘:運用模糊數學中的聚類分析方法進行面料小樣的選擇，使這一完全憑主觀經驗的過程得以量化.從而能綜合考慮選擇面料的影響因素，避免單個人員意見的偏差，為選擇面料提供了明確的數據基礎
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