模糊數據分析 的英文怎麼說

中文拼音 [móhúshǔjùfēnxī]
模糊數據分析 英文
fuzzy data analysis
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 糊 : 糊名詞（樣子像粥的食物） paste
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 據 : 據Ⅰ動詞1 （占據） occupy; seize 2 （憑借; 依靠） rely on; depend on Ⅱ介詞（按照; 依據） according...
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 析 : Ⅰ動詞1. （分開; 散開） divide; separate 2. （分析） analyse; dissect; resolve Ⅱ名詞（姓氏） a surname
  • 模糊 : 1 （不清楚） dim; vague; indistinct; obscure; fuzzy; blurred 2 （混淆） blur; obscure; confuse; m...
  • 數據 : data; record; information
  1. This method introduced in this paper not only solves many problems that can not be solved by fuzzy mathematics and classical mathematics, but also makes the assessment results more objective and accurate. besides, it can express the assessment results with quantitative values ; therefore it can show the level of the product integrated performance indexes more completely, which improves the assessment ' s support effects on the design process

    本文根據綠色產品的特點和評價指標體系的構成，創造性地將模糊物元分析方法引入綠色產品評價，不僅解決了模糊數學和經典數學應用在評價過程中難以克服的一些缺點，而且使評價結果更客觀、更精確，並以定量化的數值表示評價結果，能夠較完整地反映產品的綜合性能指標水平。
  2. The equations of the mean value functions and the covariance functions are established for dynamical systems whose inputs are fuzzy stochastic processes. an existence and uniqueness theorem of ito fuzzy stochastic differential equations is proved, some explicit representations of solutions and the equations of statistical characteristics are deduced for linear fuzzy stochastic differential equations, and numerical methods to nonlinear fuzzy stochastic differential equations are proposed, the conditions for stability and observability of fuzzy linear systems are derived. the kalman filter algorithms of linear fuzzy stochastic systems are brought forward

    主要成果包括：提出了模糊隨機變量協方差和反向協方差的概念；研究了二階模糊隨機變量的均方收斂性，並在此基礎上得到了均方模糊隨機分析、平穩模糊隨機過程及其譜分解的若干定理；根據均方模糊隨機分析理論，得到了輸入為模糊隨機過程的線性系統的輸出輸入統計特徵關系方程；證明了ito型模糊隨機微分方程解的存在唯一性，並給出了ito型線性模糊隨機微分方程解的表達式，統計特徵方程以及非線性模糊隨機微分方程的數值解法；得到了模糊線性系統的穩定性和可觀性條件、線性模糊隨機系統統計特徵方程和線性模糊隨機系統的kalman濾波演算法；研究了當觀測值是模糊數據時，線性回歸模型的建立。
  3. The evaluation of contactor performances according as dynamic characteristic curves is put forward the first time. fuzzy logic and neural network are introduced to establish a model for the contactor performances intelligent evaluation system. the model mentioned above can give a performance evaluation result in the meanwhile of the contractor dynamic process testing

    首次提出以動態特性曲線參數作為接觸器性能評判的依據，並構造了基於模糊聚類分析和神經網路演算法的接觸器動態特性性能評判模型，在實現對接觸器動態過程測試的同時，給出接觸器動態特性性能評判結果。
  4. Furthermore this system uses snort rule language and fuzzy reasoning in the system. consequently, this system has low false alarm rate as well as low miss alarm rate. all these characters make this instrusion detection expert system have much more protecting capacity

    此外，本系統將模糊推理和snort規則描述語言用於對入侵特徵的分析與識別，構建起基於誤用和基於異常相結合的入侵檢測系統，使系統的誤報率漏報率降低，而且數據分析更據實時性。
  5. ( 2 ) a new method, which can be used to diagnose steam turbine generator - set ' s multiple faults, is brought out. this method, which is based on fuzzy clustering analyze theory, puts standard fault samples and the checked samples together as classified samples and draw a conclusion by using transfer closure based on fuzzy equivalence matrix

    （ 2 ）運用模糊聚類分析理論，將標準故障樣本和侍檢數據一起作為分類樣本，利用基於模糊等價矩陣的傳遞閉包法，提出了一種用於汽輪發電機組多故障診斷的新方法。
  6. 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。
  7. The partly gas stratum produce the water in the past logging interpretation method ca n ' t distinguish them easily. according to the logging and brothel logging shows and testing results, this thesis will utilize the cross - plot analysis technology to look for the qualification and quantity index of the containing water and gas by mutual comparison, triumphantly discern the containing gas and water quality in the store stratum ; using b - p network can recognize the reservoir ; the utilize the fuzzy cluster analysis technology to cluster analyze separately the water well section and water quality well in the store stratum, settle the type datum and central type distinctly and analyze fluidity ' s material quality and diversity in all models and others store stratum, triumphantly distinguish the diversity of the containing water and gas

    本次論文以鉆井錄井顯示和測試結果為依據，利用交會圖分析技術，相互對比尋找出區分含水與含氣的定性與定量指標，成功地對儲層含氣、水性質進行了識別；利用bp網路分析識別儲層類型，利用模糊聚類分析技術，將測試產水井段與產水井段數據分別作聚類分析，確定出各自的類數和類中心，建立起聚類模型，將所建模型對其它儲層段進行含流體性質及差異分析，成功地對含氣性差異進行了判別。
  8. Ship form projects fuzzy optimization based on rough set

    基於粗集數據分析的船型方案模糊優選法
  9. With the help of dynamic qualitative information of working marine diesel power equipment in this field and expertise, a new long - distance oil monitoring expert system of marine diesel power equipment has been proposed and developed with the characteristic of expounding the dynamic features of marine diesel power equipment from the perspective of chaos knowledge, possessing intellectualized auxiliary decision - making mechanism based on fuzzy reasoning and neural network reasoning, utilizing mathematic analysis model established by means of track facility states of chaos vector and capable of evaluating the analysis results of oil monitoring facil ity ' s development of engine power and its working conditions accurately

    然後，結合廣泛搜集的本研究領域內船舶柴油機動力裝置在運行中的動態定性信息與專家經驗，研製開發了運用混沌學的觀點闡釋船舶動力裝置的動力特性，並擁有基於模糊推理與神經網路協作推理的智能化輔助決策機制，採取通過求取設備狀態混沌向量等方法建立的數學分析模型進行數據分析，能準確地評價船舶柴油機動力裝置油液監控設備狀態變化趨勢及其運轉狀況的遠程輪機油液監控診斷專家系統。本文研製開發的遠程輪機油液監控診斷專家系統在internet intrabet網路環境下，具有遠程智能專家診斷的特點。
  10. 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。
  11. 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。
  12. Consequently, this system has low false alarm rate as well as low miss alarm rate. what ' s more, it has real - time data analyzing and responds on time. all these characters make this intrusion detection expert system have much more protecting capacity

    本系統將模糊推理和并行推理相結合的推理技術用於對入侵特徵的分析與辨識，構建起基於誤用和基於異常相結合的入侵檢測系統，使系統在保持以專家系統開發入侵檢測系統誤報率低的優勢之外還降低了入侵檢測的漏報率，而且數據分析更具實時性，響應及時有效。
  13. Fahp was employed to define computer non - functional conditions ' weight factor, and it determined the conditions ' weight number based on the expectation distance and hereby constructed the goal function

    該方法採用模糊層次分析法確定條件權重，根據供求雙方的非功能性條件的期望值距離，確定條件權數，並據此建立目標函數。
  14. In this paper, by studying the feature of the netflow data and the mib status of the network equipments, at the same time, in terms of analyzing the characteristics of network attack, worm spread, virus infection and network misuse behaviors, our work is based on the facts that most of the anomaly traffic in campus network has influences of the netflow data and network equipment status. an approach is present to assess the threats of the traffic in terms of five factors : the traffic bytes distribution, flow number distribution, packets number distribution, equipment cpu utilization and the memory utilization. the weight of each factor is computed and determined by fuzzy relation matrix 。 an prototype system is designed to test the method and the results are analyzed to evaluate the availability of our method

    本文研究了netflow流數據的特徵和網路設備運行狀態數據，分析了校園網網路異常攻擊、蠕蟲病毒和網路濫用行為的特點，基於大多數的網路流異常必然反映在網路網路流量數據特徵的變化以及網路設備運行狀態的改變這樣一個事實，提出了一套基於網路流量和網路設備運行狀態的異常威脅評估方法，確定了5種威脅評估因素:網路流帶寬分佈、網路流數量分佈、網路流包數量分佈、網路設備cpu利用率、網路設備內存利用率，並採用模糊關系矩陣方法計算和分配這5種評估因素在評估函數中的權重。
  15. 4 sugeno m, kang g. structure identification of fuzzy model. fuzzy sets and systems, 1988, 28 : 15 - 33. 5 sugeno m, yasukawa t. a fuzzy - logic - based approach to qualitative modeling

    首先我們利用模糊數據聚集的手法，將變量的宇集分成若干小區接著在每一小區，採取模糊回歸分析的技術，推演出最佳的模糊限制式。
  16. 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。
  17. Use the hierachical fuzzy clustering algorithm to cluster the similar customers and solve the problems of validity of clustering results and how to get the best clusters. get the customer group requirement tendency model that belongs to the vision of customers. provide the necessary data preparation for the transformation of customer requirements to engineering parameters and indexes

    研究了大規模定製的市場細分過程：應用matlab語言實現的層次模糊聚類分析演算法將相似需求的客戶聚成一類，極大的簡化了演算法的實現復雜度，解決了聚類結果的有效性評估和最佳分類的確定問題，獲得屬于客戶視角的客戶群體需求傾向模型，達到細分市場的目的，並為進一步將客戶需求轉化為工程意義的技術參數或指標提供了必要的數據準備。
  18. It was especially suitable for the situation that was multi - objective and lack of necessary data

    模糊層次分析法特別適用於目標結構復雜且缺乏必要數據的項目評價情況。
  19. The indexing set for the assessment was established according to the relationship between the log files and human psychological security feature. also, an assessment method based on fuzzy ahp ( analytic hierarchy process ) was presented in consideration of the uncertainty and fuzzy quality of the human risk degrees measurement

    通過研究系統數據文件與人員心理安全特性的映射關系，提取測評人員風險度的指標體系結構，而後基於模糊層次分析方法提出了一種新的信息系統人員風險度測評方法，並實例驗證了方法的有效性。
  20. Through establishment different rank membership function, builds judgment matrix and uses fuzzy analytic hierarchy process ( fahp ) to draw up the weight considering affects of different parameter in judgment. finally uses m ( ? + ) operator to carry on the fuzzy matrix computation and utilizes fuzzy comprehensive evaluation to judge ssdi system by the result

    本文採用模糊分佈法構造基本因素對應不同等級的隸屬函數，建立了評判矩陣;並根據不同因素在評判中所起的作用，使用模糊層次分析法確定了相應的權重;運用m （
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