模糊向量 的英文怎麼說
中文拼音 [móhúxiàngliáng]
模糊向量
英文
fuzzy vector-
Fuzzy affine spaces and fuzzy vector subspaces
模糊仿射空間與模糊向量子空間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。A new method of making weight in the model of fuzzy multiple criterion evaluation
一種確定模糊智能綜合評判權向量的新方法Based on a statistic analysis, the author suggests professors of literature should make research work results accessible and alluring rather than obfuscating them with a vocabulary designed to give an air of pseudoscience
在對大量的教學對象的數據統計和分析的基礎上，作者建議文學教師的研究成果不要晦澀模糊，要明白易懂，引人入勝，要剔除有偽科學傾向的詞藻。Design of information retrieval system based on vector space model
基於合意空間的模糊向量空間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。The results obtained from the simulation example suggest a good effect and significance of using gps simulation data for demonstrating the feasibility and validity of an od design or an algorithm of certain problem. 4 the ill - conditioned problem existing in relative kinematic od using gps carrier - phase data is discussed and then some preliminary efficient approaches for solving this problem are given out there are several reasons that cause the ill - condition pro
（四）探討了星載gps相位相對定軌中的病態性問題，並嘗試給出了較有效的解決方案地面基準站、低軌衛星和gps衛星之間的幾何形狀分佈不佳，差分技術的應用使得模糊度之間及模糊度和三維坐標向量改正之間產生較強的相關性，往往都會導致星載gps定軌中的法矩陣的病態性。Abstract : an integrated approach is proposed to investigate the fuzzy multi - attribute decision - making ( madm ) problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix. an eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed. two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an madm problem. the simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked. finally, a numerical example is given to show the feasibility and effectiveness of the method. the result shows that it is easier than other methods of integrating subjective and objective information
文摘:研究了結合主觀和客觀信息的模糊多屬性決策問題，其中主客觀信息分別由屬性權重的兩兩比較矩陣和決策矩陣組成.提出一種結合主觀和客觀信息的特徵向量決策方法，給出了2種求解基於主客觀特徵向量法的模糊多屬性決策方法.這種方法通過求解2個線性目標規劃模型得到最優屬性權重，然後，通過對決策信息進行簡單的加權集結，得到所有方案的排序結果.最後，通過一個算例說明了該方法的實用性和有效性.結果表明，該方法要比其他主客觀結合多屬性決策方法簡單An integrated approach is proposed to investigate the fuzzy multi - attribute decision - making ( madm ) problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix. an eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed. two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an madm problem. the simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked. finally, a numerical example is given to show the feasibility and effectiveness of the method. the result shows that it is easier than other methods of integrating subjective and objective information
研究了結合主觀和客觀信息的模糊多屬性決策問題，其中主客觀信息分別由屬性權重的兩兩比較矩陣和決策矩陣組成.提出一種結合主觀和客觀信息的特徵向量決策方法，給出了2種求解基於主客觀特徵向量法的模糊多屬性決策方法.這種方法通過求解2個線性目標規劃模型得到最優屬性權重，然後，通過對決策信息進行簡單的加權集結，得到所有方案的排序結果.最後，通過一個算例說明了該方法的實用性和有效性.結果表明，該方法要比其他主客觀結合多屬性決策方法簡單By the browser / web server / database structure and the technology of asp. net and xml, we achieve the expert system running on the network, extend the application and ensure its backward compatibility ; we have the deep research to the representation of knowledge and apply it to the system, extend the traditional method of rule based knowledge representation ; introduce the fuzzy sets, analyze the generalized possibility interval sets, and combine the linguistic variables and fuzzy sets ; the system adopts the forward and backward chaining, researches the reasoning under uncertainty and inexact reasoning ; and we depart knowledge base and inference engine, make the upgrade simple and maintenance convenient. in the last, we construct the potato produce manage system according to the phases of potato ' s growth to give a detailed instruct to its produc e
Net和xml技術，實現了網路化的專家系統，同時擴大了專家系統的應用范圍，提高了系統的後向兼容性；對專家系統中的知識表示技術作了深入探討，在傳統的基於規則的知識表示方法的基礎上，提出了基於規則擴展的知識表示方法，並較好地將其應用到本系統中；引入了模糊集合，分析並推導了廣義可能區間集，將其應用於模糊知識的表示，將語言變量和模糊集合結合起來；提出對系統採用互動式知識獲取途徑、雙向推理控制策略，對不精確推理和不確定性推理的傳播演算法作了一定的研究，成功地將其應用到馬鈴薯專家系統的構建之中；採用知識庫和推理機相分離的方法，使得系統升級簡單易行。In the field of application of fault diagnosis with mese, using short signal analysis technology can get characteristics vector of faults. then fuzzy reasoning and neural networks are used to construct fault diagnosis system. the fault diagnosis system analyses the characteristic vector by self - learning
在故障診斷領域的應用研究方面，將的簡訊號最大熵譜分析與模糊推理、神經網路技術相結合，採用模糊神經網路對最大熵譜分析得到的特徵向量進行自學習的模糊推理，能夠準備識別故障類型。In his lecture, professor john wann will explain his recent proposal that learning " where and when to look " can provide a mechanism to merge experience, learning and knowledge with the blur of visual flow that passes over the retina during high - speed locomotion. anyone who drives or cycles to work can test the proposal on their way home. entitled " do you think you are a skilful driver
在講座中， professorjohnwann會講解他近期提出的建議，他認為若能學習到"向哪裡望及何時望" ，就能結合經驗、學習及知識，當高速前進引起視覺訊息模糊流經視網膜時，視覺將產生一套機制測量周遭環境。Clothing industry has always been one of the most important industries in china ， among china ’ s whole exports ， the clothing export has been holding the important status from this point of view, and on the basis of analyzing the history and current situation of china ’ s clothing industry, this paper points out the advantages of china ’ s clothing export with using the concerned theories of international trade in general ， china ’ s clothing trade is growing steadily ， but along with the intensify of the world clothing industry ’ s competition ， the superiority of china ’ s clothing export is becoming less and less by analyzing the main counterparts of china ’ s clothing trade ， that is the import features and trend of usa 、 eu 、 japan and hong kong ， this paper gives the main problems that china ’ s clothing industry exists at present with designing the system structure for elements of affecting the clothing requirements ， this paper uses ahp, grey 7heory and fuzzy theory to analyze the elements of affecting the clothing export and put them to order according to the degree of importance ， which scientifically proves that the main elements that affect the clothing export are the green trade barriers 、 brands and styles ， etc to counter these elements this paper supplies detailed suggestions on china ' s clothing trade management strategies these suggestions are practidal and operational ， which must have a constructive role on china ’ s clothing industry entering into the world
本文通過分析中國服裝貿易的主要夥伴，即美國、歐盟、日本和香港的進口特點和趨勢，指出中國服裝行業目前存在的主要問題。通過設計影響服裝需求因素的體系結構，運用層次分析法、灰色模糊理論、模糊數學對影響服裝行業出口的因素進行定量化方法分析排序，科學合理地分析出影響服裝出口的主要因素為綠色貿易壁壘、晶牌和服裝款式等，並針對這些因素詳盡地提出了中國服裝貿易經營戰略的建議。這些戰略性的建議具有可行性和可操作性，必將對中國的服裝行業走向世界起到建設性的作用。Abstract : according to the characterestic of resistance furnace temperature control, temperature rising one - way control, large time delay and time - variation of parameter, using method of fuzzy compositional rule of inference establish fuzzy model and design fuzzy cntroler. in order to increase control system precision, it gives a fuzzy variable k, and sets parameter self - adjusting fuzzy control system. this system can on line self - adjusting controller parameters according to the error and variations of the error. it makes the system steady precision improved
文摘:根據電阻爐溫控制的特點，即只有升溫單向控制、滯后較大且具有參數時變性，利用模糊推理合成法建立模糊模型並進行模糊控制器設計，為提高模糊控制的精度，引入模糊變量k ，構成參數自調整模糊控制系統.該系統可根據誤差和誤差變化在線自動調整控制器參數，使系統的穩態精度得到改善According to the characterestic of resistance furnace temperature control, temperature rising one - way control, large time delay and time - variation of parameter, using method of fuzzy compositional rule of inference establish fuzzy model and design fuzzy cntroler. in order to increase control system precision, it gives a fuzzy variable k, and sets parameter self - adjusting fuzzy control system. this system can on line self - adjusting controller parameters according to the error and variations of the error. it makes the system steady precision improved
根據電阻爐溫控制的特點，即只有升溫單向控制、滯后較大且具有參數時變性，利用模糊推理合成法建立模糊模型並進行模糊控制器設計，為提高模糊控制的精度，引入模糊變量k ，構成參數自調整模糊控制系統.該系統可根據誤差和誤差變化在線自動調整控制器參數，使系統的穩態精度得到改善This thesis analyses and studies the status quo and challenges of the auto fire direction system, keeping footing on the regional war under hi - tech conditions and integrating the practical applications in troops " training and operations. in accordance with the analytical results, iayer - analysis methods have been employed to establish the assessment system and probability statistics as well as fuzzy comprehensive mathematical correction judgment method used to establish the digital model to assess the combat efficiency of the auto fire direction system. by applying that assessment model, the combat efficiency of one artillery auto fire direction system under different operational conditions index capability can be assessed
本文針對炮兵指揮自動化系統，立足高技術條件下的局部戰爭，結合部隊實際作戰訓練的使用調查情況，分析研究炮兵指揮自動化系統的現狀，依據分析結果，文中運用層次分析法建立評估指標體系，然後運用概率統計、模糊綜合量化修正評判等理論和方法建立評估炮兵指揮自動化系統作戰效能的數學模型；運用該模型評估某型炮兵指揮自動化系統在不同作戰環境條件下的作戰效能，通過評估結果，對炮兵指揮自動化系統的發展方向及在渡海登島、封島作戰中的使用提出合理化的建議。Chapter 5 describes how to design fuzzy control rulers by reverse pulse algorithm, which solves the problem of fast charging on the storage battery. this method is applied to improve the efficiency of power conversion and shorten the charging time
第五章從蓄電池快速充電理論出發，根據馬斯定律，以電壓和溫升作為控制變量，運用反向脈沖模糊控制演算法對蓄電池快速充電進行模擬，用以提高電能轉換效率，縮短充電時間。Considering the fuzziness of some boundary conditions enviroment media, and especially some loads in the engineering structure analysis, we go further into the computation based on the dynamic problem of fuzzy finite element ( ffe ), study further and systematically the analysis and solution. the principle of fuzzy minimum potential energy is established, and the balance equation of fuzzy finite element is reasoned by making fuzzy variation. at the same time, the dynamic balance equation of stochastic by making stochastic variation ， also the fuzzy stochastic dynamic balance equation is deduced. based the theory that the degree of the fuzziness and probability can be measured, in the other word, by using the concept of fuzzy entropy and entropy, pure fuzzy dynamic structure is given through transforming the probability to fuzziness. for the fuzzy parameter can be regarded as a fuzzy vector with dimensions, the structure ' s eigenvalue, by the theory of small parameter
建立了模糊瞬時最小勢能原理，運用模糊變分原理導出了模糊有限元動力平衡方程；同時，利用隨機變分原理導出了動力問題的隨機有限元方程，同時得到了模糊隨機動力問題的有限元平衡方程。根據模糊度和概率度可以度量的原理，即利用模糊熵和概率熵的概念，把結構的隨機性等效地轉化為結構的模糊性，得到純粹模糊性的動力結構。把結構所具有的模糊參數看作一個維的模糊向量，利用小參數攝動原理，把結構的特徵值，特徵向量和位移都在模糊向量的均值處進行泰勒展開，得到一組遞歸方程，即可以求得結構的模糊特徵值，特徵向量和模糊位移。Duality of fuzzy vector spaces
模糊向量空間的對偶性Chapter2 : traditional time series models and multivariate fuzzy time series models. the chapter introduces the vector arma model, transfer arima model, seasonal arima, and arima model of traditional time series models, and two - factors models, heuristic models, and markov models of multivariate fuzzy time series models. i devise the process of the model construction, and propose the findings
本章介紹傳統時間數列模型（向量arma模型、 arima轉移函數模型、季節性arima模型以及arima模型）與多變量模糊時間數列三種模型?二因子模型（ two - factormodels ） 、引導式模型（ heuristicmodels ） 、馬可夫模型（ markovmodels ） ，模型建構步驟與流程，及傳統時間數列模型轉換為多變量模糊時間數列模型過程，並分別針對多變量模糊時間數列三種模型提出本研究不同於先前研究之處。分享友人