【正文】 you aren39。移動計算系統(tǒng)的普及使人們對這類系統(tǒng)上運(yùn)行的數(shù)據(jù)庫產(chǎn)生了濃厚的興趣。目前，空間數(shù)據(jù)庫正越來越多的被應(yīng)用于存儲計算機(jī)輔助設(shè)計數(shù)據(jù)和地理數(shù)據(jù)?？偨Y(jié)隨著企業(yè)認(rèn)識到聯(lián)機(jī)事務(wù)處理系統(tǒng)收集的聯(lián)機(jī)數(shù)據(jù)的價值，決策支持系統(tǒng)也越發(fā)變得重要了。有關(guān)當(dāng)前道路前放服務(wù)的查詢必須根據(jù)用戶的位置、移動的方向及速度進(jìn)行處理?！?基于無限局域網(wǎng)、蜂窩數(shù)字包網(wǎng)絡(luò)，以及其他技術(shù)成本相對低廉的無線數(shù)字通信基礎(chǔ)設(shè)施的發(fā)展。因此我們更希望將數(shù)據(jù)本身存儲在數(shù)據(jù)庫中。多媒體對象常常有描述屬性，如指明它們是何時創(chuàng)建的、誰創(chuàng)建的，以及它們屬于哪一類?，F(xiàn)在多媒體數(shù)據(jù)通常存儲在數(shù)據(jù)庫以外的文件系統(tǒng)中。地圖不僅可提供位置信息，如邊界、河流和道路，而且還可以提供許多和位置相關(guān)的詳細(xì)信息，如海拔、土壤類型、土地使用和年降雨量?！?地理數(shù)據(jù)庫是用于存儲地理信息（如地圖）的空間數(shù)據(jù)庫。我們用兩類應(yīng)用闡述規(guī)則發(fā)現(xiàn)：分類和關(guān)聯(lián)。有關(guān)自動發(fā)現(xiàn)規(guī)則的研究很大程度上是受人工智能領(lǐng)域在知識學(xué)習(xí)方面研究的影響。與人工智能中的知識發(fā)現(xiàn)類似，數(shù)據(jù)挖掘試圖自動從數(shù)據(jù)中發(fā)現(xiàn)統(tǒng)計規(guī)則和模式。但是，人們最近感到需要使用多種數(shù)據(jù)源的數(shù)據(jù)，以便在數(shù)據(jù)分析和數(shù)據(jù)挖掘（或知識發(fā)現(xiàn)）的基礎(chǔ)上，更好的來做決策支持。geographic data consist of a bination of vector and raster databases are growing in such as similaritybased retrieval and delivery of data at guaranteed rates are topics of current puting systems have bee mon, leading to interest in database systems that can run on such processing in such systems may involve lookups on server （論文）——外文翻譯（譯文）數(shù)據(jù)庫的新應(yīng)用我們使用關(guān)系數(shù)據(jù)庫已經(jīng)有20多年了，關(guān)系數(shù)據(jù)庫應(yīng)用中有很大一部分都用于商業(yè)領(lǐng)域支持諸如銀行和證券交易所的事務(wù)處理、各種業(yè)務(wù)的銷售和預(yù)約，以及幾乎所有公司都需要的財產(chǎn)目錄和工資單管理。翻譯的外文文獻(xiàn)應(yīng)主要選自學(xué)術(shù)期刊、學(xué)術(shù)會議的文章、有關(guān)著作及其他相關(guān)材料，應(yīng)與畢業(yè)論文（設(shè)計）主題相關(guān)，并作為外文參考文獻(xiàn)列入畢業(yè)論文（設(shè)計）的參考文獻(xiàn)。s basic in Gerla 2005 a logical approach to fuzzy control is proposed based on the following by f the fuzzy function associated with the fuzzy control system, ., given the input r, s(y)= f(r,y)is the fuzzy set of possible given a possible output 39。s operational specifications and inputs and the fuzzy sets for the the rule the defuzzification through test suite to validate system, adjust details as document and release to interpretation of fuzzy control In spite of the appearance there are several difficulties to give a rigorous logical interpretation of the IFTHEN an example, interpret a rule as IF(temperature is ”cold“)THEN(heater is ”high“)by the first order formula Cold(x)→High(y)and assume that r is an input such that Cold(r)is the formula Cold(r)→High(t)is true for any t and therefore any t gives a correct control given , if we consider systems of rules in which the class antecedent define a partition such a paradoxical phenomenon does not any case it is sometimes unsatisfactory to consider two variables x and y in a rule without some kind of functional rigorous logical justification of fuzzy control is given in H225。a conductivity sensor, to measure detergent level from the ions present in the wash。黃石理工學(xué)院畢業(yè)設(shè)計（論文）外文文獻(xiàn)翻譯Fuzzy Control From Wikipedia November 2011OverviewFuzzy logic is widely used in machine term itself inspires a certain skepticism, sounding equivalent to ”halfbaked logic“ or ”bogus logic“, but the ”fuzzy“ part does not refer to a lack of rigour in the method, rather to the fact that the logic involved can deal with concepts that cannot be expressed as ”true“ or ”false“ but rather as ”partially true“.Although genetic algorithms and neural networks can perform just as well as fuzzy logic in many cases, fuzzy logic has the advantage that the solution to the problem can be cast in terms that human operators can understand, so that their experience can be used in the design of the makes it easier to mechanize tasks that are already successfully performed by and applicationsFuzzy logic was first proposed by Lotfi of the University of California at Berkeley in a 1965 elaborated on his ideas in a 1973 paper that introduced the concept of ”linguistic variables“, which in this article equates to a variable defined as a fuzzy research followed, with the first industrial application, a cement kiln built in Denmark, ing on line in systems were largely ignored in the they were associated with artificial intelligence, a field that periodically oversells itself, especially in the mid1980s, resulting in a lack of credibility within the mercial Japanese did not have this in fuzzy systems was sparked by Seiji Yasunobu and Soji Miyamoto of Hitachi, who in 1985 provided simulations that demonstrated the superiority of fuzzy control systems for the Sendai ideas were adopted, and fuzzy systems were used to control accelerating, braking, and stopping when the line opened in event in 1987 helped promote interest in fuzzy an international meeting of fuzzy researchers in Tokyo that year, Takeshi Yamakawa demonstrated the use of fuzzy control, through a set of simple dedicated fuzzy logic chips, in an ”inverted pendulum“ is a classic control problem, in which a vehicle tries to keep a pole mounted on its top by a hinge upright by moving back and were impressed with this demonstration, as well as later experiments by Yamakawa in which he mounted a wine glass containing water or even a live mouse to the top of the system maintained stability in both eventually went on to organize his own fuzzysystems research lab to help exploit his patents in the such demonstrations, Japanese engineers developed a wide range of fuzzy systems for both industrial and consumer 1988 Japan established黃石理工學(xué)院畢業(yè)設(shè)計（論文）外文文獻(xiàn)翻譯the Laboratory for International Fuzzy Engineering(LIFE), a cooperative arrangement between 48 panies to pursue fuzzy vacuum cleaners use micro controllers running fuzzy algorithms to interrogate dust sensors and adjust suction power washing machines use fuzzy controllers to loadweight, fabricmix, and dirt sensors and automatically set the wash cycle for the best use of power, water, and developed an autofocusing camera that uses a chargecoupled device(CCD)to measure the clarity of the image in six regions of its field of view and use the information provided to determine if the image is in also tracks the rate of change of lens movement during focusing, and controls its speed to prevent camera39。然后給出一個可能的輸出的t,我們把f(r,t)為真理程度的表示。在任何情況下它有時是不考慮兩個變量x和y在一條規(guī)則沒有某種功能的依賴。作為討論之前,加工階段是基于規(guī)則的集合的形式邏輯IFThen規(guī)則。每一個適當(dāng)?shù)募庸るA段調(diào)用規(guī)則和產(chǎn)生的結(jié)果對每個人來說,然后結(jié)合結(jié)果的規(guī)則。在許多情況下,模糊控制可以用來改善現(xiàn)有的傳統(tǒng)控制器系統(tǒng)通過增加了額外的情報電流控制方法。如果PID和其他傳統(tǒng)的控制系統(tǒng)是如此的先進(jìn),何必還要模糊控制嗎?它有一些優(yōu)點(diǎn)。這個結(jié)果將被映射成一個隸屬函數(shù)和控制輸出變量的真值。在一個例子里,有兩個輸入變量是“剎車溫度”和“速度”,定義為模糊集值。黃石理工學(xué)院畢業(yè)設(shè)計（論文）外文文獻(xiàn)翻譯模糊集輸入變量在一個模糊控制系統(tǒng)是集映射到一般由類似的隸屬度函數(shù),稱為“模糊集”。電導(dǎo)率傳感器,用來測量離子洗滌劑水平存在于洗。美國環(huán)境保護(hù)署分析了模糊控制節(jié)能電動機(jī),美國國家航空和宇宙航行局研究了